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Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science

Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science

Available Speakers on this Topic

Ricardo Baeza-Yates – Palo Alto, CA, United States

Bias and the Web
The Web is the most powerful communication medium and the largest public data repository that humankind has created. Its content ranges from great reference sources such as Wikipedia to ugly fake...
Big Data or Right Data? Opportunities and Challenges
Big data nowadays is a fashionable topic, independently of what people mean when they use this term. But being big is just a matter of volume, although there is no clear agreement in the size...
Designing Algorithms
This presentation is a tour of different paradigms to design algorithms using one of the most classical algorithmic problems: searching. Starting from sequential search and adding either resources...
Distributed Web Search
In the ocean of Web data, Web search engines are the primary way to access content. As the data is on the order of petabytes, current search engines are very large centralized systems based on...
Information Retrieval
This tutorial covers all the main concepts behind search: relevance, retrieval models, quality evaluation, indexing and ranking. At the same time, we explain all the elements of the architecture...
Semantic Search
Semantic search lies in the cross roads of information retrieval and natural language

processing and is the current frontier of search technology. The first part consists in...
Web Data Mining
The Web continues to grow and evolve very fast, changing our daily lives. This activity represents the collaborative work of the millions of institutions and people that contribute content to the...

Kaveh Bazargan – Tehran, Iran

Introduction to Research Methods in Human-Computer Interaction
The output of outstanding Human-Computer Interaction (HCI) research can be considered as an input for the work of brilliant designers and engineers that fuel disrupting inventions or major...

Indrajit Bhattacharya – Kolkata, India

Introduction to Monte Carlo Methods for Probabilistic Inference
Probabilistic Models provide a framework for representing and reasoning with complex domains with many uncertain and interdependent variables and form one of the foundations of Artificial...
Introduction to Probabilistic Graphical Models
Probabilistic Graphical Models (PGM) provide a unifying framework for representing and reasoning with complex domains with many uncertain and interdependent variables and form one of the...
Principles of Technical Writing
While research students receive intensive and extensive training about the fundamentals of topics relevant for their research, their formal education rarely covers the topic of research...
Statistical Topic Models
Over the last decade, probabilistic topic models have emerged as an extremely powerful and popular tool for analyzing large collections of unstructured data. While originally proposed for textual...

Albert Bifet – Paris, France

Massive Online Analytics for the Internet of Things (IoT)
Big Data and the Internet of Things (IoT) have the potential to fundamentally shift the way we interact with our surroundings. The challenge of deriving insights from the Internet of Things (IoT)...

Christophe Bobda – Fayetteville, AR, United States

Architecture Virtualization on Field Programmable Gate Arrays For High-Performance Computing and Productivity Improvement
The continuous decreasing size of transistors and the capability of packing more transistors on smaller area has led the transition from high-clocked single processors to multicores....
Dynamic Legacy Code Migration Through Binary-Synthesis on Heterogeneous Multiprocessor on Chips
The constant improvement in chip and processor technology poses a major challenge to organizations with enterprise-class legacy software, which need to be run on constantly evolving...

Li Chen – Washington, DC, United States

Data Science: Recent Developments and Future Trends
Data contains science. How data is handled today is much different than the classical mathematical approach of using models to fit the data. Today, people are supposed to find rules and...
Digital Geometry and its Applications: Geometrical and Topological Data Processing
Digital geometry focuses on digital objects, which are usually represented by a finite number of integer points or vectors. However, in a much larger sense, digital objects could be digital...

Dipankar Dasgupta – Memphis, TN, United States

Adaptive Multi-Factor Authentication (A-MFA) Methodology
Multi-factor Authentication (MFA) is the current trend to genuinely identify authorized users (in multiple ways) through an authentication process via passwords, security tokens, biometrics,...
Cloud Services: Security, Compliance and an Insurance model
As cloud services move to the mainstream to meet major computing needs, the issues of ownership and chain of custody of customer data are becoming primary responsibilities of providers. The...

Gargi Banerjee Dasgupta – Bangalore, India

Cognitive Technology Support
Scientists are working on using cognitive technologies for creating an improved technical support experience. Technical support is a hard task and companies offering support often face...

Dipankar Dasgupta – Memphis, TN, United States

Coordination in Open Collaboration Communities
Open collaboration communities produce highly complex work yet lack many of the coordination mechanisms that exist in more traditional organizations. This study examines an open source software...

Gargi Banerjee Dasgupta – Bangalore, India

Detect Needle in a Haystack: Advanced Anomaly Detection mechanisms from execution logs
Troubleshooting complex systems in IT data centers is a very complex problem. We focus on the problem of detecting anomalous run-time behavior of distributed applications from their...

Dipankar Dasgupta – Memphis, TN, United States

Online Social Networks and Privacy issues
Blogging, tweeting and social networking become important part of our daily life. Studies have shown that people spend a lot of their time online such as Facebook, LinkedIn, Twitter, You...
Puzzle-based learning in Cyber Security Education
Different forms of puzzles are in existence for people to think, expand knowledge and stimulate their cognitive ability. Puzzle-based learning has proven to result in a better STEM learning...
Where the Immunological Computation Research is heading?
The biological immune system exhibits some remarkable properties, including distributed processing, pathogenic pattern recognition, decentralized control, adaptability, diversity,...

Gianluca Demartini – Sheffield, United Kingdom

Crowdsourcing for Entity-centric Information Access
Crowdsourcing is a novel approach used to obtain data processing at scale. In this talk I will introduce the dynamics of crowdsourcing platforms and provide examples of their use to build hybrid...
The Power of Big Data
More and more data is being generated around us by every activity we do in our daily life. Such large amounts of data are changing the way we do things and are used to make data-driven decisions...

Marcus Foth – Brisbane, QLD, Australia

Connected Urbanism and Cohabitation in the Smart City
Ubiquitous computing, mobile devices, and big data come together to give rise to a new urban paradigm being celebrated by many technology corporations and municipalities alike: the smart...
Human-Computer & Human-Food Interactions: Beyond Nutritional Data and Educational Information
Raising people’s awareness of healthy and ecological food options with nutritional data and educational information does not foster a sustained practice towards a more environmentally...
Smart Cities beyond Fad and Hype: Connecting People, Place and Technology
Ubiquitous computing, mobile devices, and big data come together to give rise to a new urban paradigm being celebrated by many technology corporations and local governments alike: the smart...
The Promise of Blockchain Technology for Food & Agriculture
After its first prominent application as part of the digital cryptocurrency Bitcoin, blockchain and distributed ledger technology are gaining in popularity. Blockchain comprises a chain of...

João Portela Gama – Porto, Portugal

Data Stream Mining for Ubiquitous Environments
Data stream mining is, nowadays, a mature topic in data mining. Nevertheless, most of the works focus on centralized approaches to learn from sequences of instances generated from...
Evolving Social Networks: trajectories of communities
In recent years we witnessed an impressive advance in the social networks field, which became a ”hot” topic and a focus of considerable attention. The...
Real-Time Data Mining
Nowadays, there are applications in which the data are modelled best not as persistent tables, but rather as transient data streams. In this keynote, we discuss the limitations of current...

Michael Gschwind – Yorktown Heights, NY, United States

Accelerating Deep Learning
As computing systems transform to become more responsive to human needs, Machine Learning and Deep Learning are poised to become key drivers of new cognitive computing systems....
The Evolution of Artificial Intelligence
As computing systems transform to become more responsive to human needs, cognitive computing systems are posed to revolutionize computing. Artificial Neural...

Laura M Haas – San Jose, CA, United States

Data, Analytics, and the Dawn of the Cognitive Era of Computing.
We are poised on the brink of a new era of computing, one in which computers will increasingly partner with people to improve our lives and enhance our ability to solve complex problems....
Accelerating Data Discovery for Better Health
The volumes of healthcare data are sky-rocketing, and new sources and types of patient, biology, medical and contextual information are proliferating; we can now get more data on patients and...
Accelerating the Discovery of Insights from Data
Today, businesses and scientists alike struggle to get to the value in their data. Their challenges include finding and gaining access to the data they need, “wrangling” the...
The Power Behind the Throne: Information Integration in the Age of Data-Driven Discovery
Integrating data has always been a challenge. The information management community has made great progress in tackling this challenge, both on the theory and the practice. But in the...

James A Hendler – Troy, NY, United States

The Semantic Web
For more than a decade now, the Semantic Web community has been listening to one critic after another explain why the technology will not work. The good news is that we have now exceeded the...

James D Herbsleb – Pittsburgh, PA, United States

Coordination in Open Collaboration Communities
Open collaboration communities produce highly complex work yet lack many of the coordination mechanisms that exist in more traditional organizations. This study examines an open source software...
On the Diminishing Prospects for an Engineering Discipline of Requirements
What do the following have in common? (1) describing the computation an electronic control unit should perform as it detects rotational speed from wheel speed sensors and adjusts hydraulic valves...
Socio-technical Coordination
Coordination, or managing dependencies among tasks, has long been recognized as one of the most difficult, pervasive, and persistent problems in large-scale software development. A...

Yu Hua – Wuhan, China

Deduplication-aware Architecture and System for Edge Computing
Edge computing requires cost-efficient storage infrastructure to deliver high performance. Deduplication-based schemes are able to meet these needs due to salient features of space and bandwidth...

Seiji Isotani – Sao Carlos - SP, Brazil

Understanding Ontologies and Ontology Engineering
Computer science borrows the term ontology from a branch of philosophy (metaphysics) that studies the nature of “being” and “existence.” For philosophers, ontology aims at...

Samee U Khan – Fargo, ND, United States

Big Data Recommendation Systems
Recommendation systems were developed in the 90s to address the challenges of automatic and personalized selection of data from diverse and overloaded sources of information. These systems...
Data Center Networks: Trends, Opportunities, and Challenges
The major Information and Communication Technology (ICT) components within a data center are: (a) servers, (b) storage, and (c) interconnection networks. The data center network (DCN) is...
Universal Design in Learning
It is a well-known fact that the human learning experience is not universal. Consequently, when developing instructional materials, we must be cognizant of techniques and procedures that...

Fernando Koch – Melbourne, Australia

Social Applications and Sensible Societies
In this lecture, we will entice the audience to think of mobile media technologies as a tool to address urban social issues. The explanation will explore the potential of mobile devices,...
The New Era of Cognitive Computing Experience
In this lecture, we explain the nature of potential new experiences that the era of Cognitive Computing will require. Historically, human-computer interaction has progressed from...

Andy P Koronios – Adelaide, Australia

Mapping your Big Data Program
Interest in Big Data has now reached hype proportions. Everyone is talking about the four, five and even more ‘V’s of Big Data (Volume, Velocity, Variety, etc.) and an unhelpful...

Anis Koubaa – Riyadh, Saudi Arabia

The Internet-of-Drones: Integrating Drones into the Internet-of-Things and the Cloud
Unmanned Aerial Vehicles (UAVs) - also known as Drones, are becoming increasingly popular. Although these have been around for already a few years, applications’ developers and...

Georgia Koutrika – Santa Clara, CA, United States

Deep learning in recommender systems
Deep learning methods have dramatically improved the state-of-the-art in computer vision, speech recognition, natural language processing (NLP) and many other domains. Deep learning started to...
Modern recommender systems in action (I know what movie you will watch in Netflix)
Recommender systems provide advice on items that may be of interest to a user (e.g., movies, products, travel, and leisure activities) by learning user preferences and relationships between users...
Modern recommender systems: matrices, bandits, and neurons
The proliferation of digital content in a plurality of forms (including e-news, movies, and online courses), along with the popularity of portable devices has created immense opportunities as well...
Multi-armed bandits in recommender systems
Traditional recommender systems can provide meaningful recommendations at an individual level by leveraging users' interests as demonstrated by their past activity. However, in many web-based...

Ponnurangam Kumaraguru – New Delhi, India

Privacy and Security in Online Social Media (PSOSM)
With increase in usage of the Internet, there has been an exponential increase in the use of online social media on the Internet. Websites like Facebook, Google+, YouTube, Orkut, Twitter and...

Ashish Kundu – Yorktown Heights, NY, United States

Baking Compliance into Cloud: Art or Science?
With the (obvious) evolution of cloud from being a compute-centric infrastructure to a data-and-compute-centric infrastructure, more and more enterprises are bringing their data to cloud in...
HMACs for Graph Data
Graphs are widely used in the representation and processing of data in several domains. Assurance of integrity of graph data is essential. Related work has shown that the digital signatures...
Privacy-preserving Authentication of Graphs on Cloud
Leakages of structural information in trees and graphs due to (redactable) signatures lead to privacy and confidentiality breaches. So leakage-free redactable signatures are an important topic...

Masaaki Kurosu – Tokyo, Japan

A View of Usability and UX from the Viewpoint of User Engineering
Based on the classification of quality characteristics where two dimensions, objective quality vs. subjective quality and artifact quality vs. quality in use. the author differentiated...

Dongwon Lee – Fairfax, VA, United States

Human Computation in Data Science
As a novel computation paradigm, human computation (a.k.a. crowdsourcing) is being actively pursued in diverse academic disciplines. Within computer science, many sub-fields have also embraced the...
LIKEs-R-Us: Analyzing LIKEs in Social Media
The recent dramatic increase in the usage and prevalence of social media has led to the creation and sharing of a significant amount of information in various formats such as texts, photos, or...

Dirk Lewandowski – Hamburg, Germany

THE POWER OF SEARCH ENGINES
Search engines are the premier tools when it comes to finding information on the Internet. Newer technological developments show how search is changing from the query-results paradigm to...

Shipeng Li – Beijing, China

Virtualize Everything a Path to the Convergence of Cloud, Mobile and IoT Computing
With the rapid development of Cloud Computing, Mobile Computing and IoT Computing, there is an increasing need for an efficient and effective way to enable the collaborations between cloud,...

Yung-Hsiang Lu – West Lafayette, IN, United States

Opportunities and Challenges in Global Network Cameras
Millions of network cameras have been deployed. Many of these cameras provide publicly available data, continuously streaming live views of national parks, city halls, streets, highways,...

Chenyang Lu – Clayton, MO, United States

Real-Time Cloud Computing
Recent years have witnessed increasing demand for real-time cloud services to support Internet of Things and other time-critical applications. However, existing virtualization and cloud...
Real-Time Internet of Things
Recent years have witnessed increasing demand for real-time cloud services to support Internet of Things and other time-critical applications. However, existing virtualization and cloud...

Oge Marques – Boca Raton, FL, United States

Machine learning and its applications
This talk provides an overview of machine learning concepts, techniques and applications.

The field of machine learning has experienced...
Medical image analysis using deep learning
This talk provides an overview of the field of medical image analysis, with emphasis on the recent impact of increasingly popular deep learning techniques on the design and implementation of...
Visual information retrieval: advances, challenges and opportunities

This talk presents an overview of Visual information retrieval (VIR), an active and vibrant research area, which attempts at providing means for organizing, indexing, annotating, and...

Jeanna N Matthews – Potsdam, NY, United States

Big Data? Big Promise, Big Problems
The data that we record daily about ourselves through our cell phones, credit card purchases, emails, social media postings, etc., helps us connect with each other and improve our life...
Rapid Recovery Architecture and Virtual Machine Contracts
Many seemingly innocent actions can render your personal computer unusable and the road to recovery can be painful. For example, reinstall the OS (if you know how), reinstall the...

Animesh Mukherjee – Kharagpur, India

In-depth analysis of large-scale citation networks
In this talk I shall present an overview of our five years long research initiative in citation networks. The investigation is in the context of the computer science domain further sub-divided...
Language of social media: from hashtags to question topics.
In this talk I shall outline a summary of our four years long initiative studying the popularity dynamics of various human language-like entities over the social media. Some of the topics that I...

Amit Nanavati – Vasant Kunji Enclave, India

Mining Generalised Disjunctive Association Rules
We discuss generalised disjunctive association rules such as "People who buy bread also buy butter OR jam", and "People who buy EITHER raincoats OR umbrellas also buy...
SNAzzy - Social Network Analysis for Telecom Business Intelligence

SNAzzy is for analysing the social networks induced by calling patterns of the customers of Telecom Service Providers. It builds a social network of the telecom subscribers from the...

Zoran Obradovic – Philadelphia, PA, United States

Computational Methods for Early Diagnostics and Multiple Blood Cleansing Interventions in Sepsis
Sepsis, a severe complication of pathogen infection that triggers systemic inflammatory response and can lead quickly to multiple organs damage, is recognized as one of the leading causes of...

Sharath Pankanti – Yorktown Heights, NY, United States

Actionable Video Content Summarization: Lessons from Practical Case Studies
For the first time in the history of universe, the video data generated by humans has exceeds all other forms of the data. While no one denies the utility of the information hidden within...
Biometrics
The determination of identity can be accomplished by three generic means. Conventionally, an exclusive possession (either a physical, e.g., key or electronic, e.g., cookie), knowledge (e.g.,...
Multi-media Compliance: A practical paradigm for managing business integrity
In virtually every business context there is a need to establish some form of monitoring system to ensure that employees comply with business processes and policies. Compliance failures range from...
Public Sector Surveillance
Situation awareness is the key to security. Awareness requires information that spans multiple scales of space and time. The increasing need for sophisticated surveillance systems and the move to...
Retail video analytics
The retail industry grosses trillions of USD revenue annually worldwide and provides numerous opportunities for innovation to facilitate real-world business operations. Applications include: loss...

Shrisha Rao – Bangalore, India

Resource Management in Cloud Computing
Cloud computing is an increasingly popular paradigm of offering services over the Internet; it is also an active area of research. One key area that calls for innovative approaches, is...
Services Science and Services Computing
New models of computation such as cloud computing, Big Data, and the Internet of Things have fundamentally upended common assumptions about the nature and purposes of computation. One thing...

Abhishek Roy – Seoul, Republic of Korea

An in-depth Study on Smart Grids with special significance on South Korea
Smart Grid is an inevitable trend of power grid, and smart grid comprehensive assessment system can conduct a comprehensive assessment of the overall characteristics of smart grid, which can...
Demand Response in Smart Grid
Smart grids are conceived of as electric power grids, capable of delivering electricity in a controlled,smart way from energy generator to active consumers. Demand response (DR), by promoting the...
VISION OF IoT IN KOREA
After the World Wide Web in 1990s and the mobile internet in 2000s, we are gradually moving towards one of the potentially most distinct phase of internet revolution--The "Internet of Things...

Sherif Sakr – Riyadh, Saudi Arabia

Big Data 2.0 Processing Engines
For a decade, the MapReduce framework, and its open source realization, Hadoop, has emerged as a highly successful framework that has created a lot of momentum such that it has become the defacto...
Big Data Science as a Service
Recently, big data science has emerged as a modern and important data analysis discipline. It is considered as an amalgamation of classical disciplines such as statistics, artificial intelligence...
Data Analytics for Healthcare Services
The last decade has seen huge advances in the scale of data we routinely generate and collect in pretty much everything we do, as well as our ability to use technology to analyze and understand...
Large Scale Graph Processing Systems
Recently, people, devices, processes, and other entities have been more connected than at any other point in history. In general, a graph is a natural, neat, and flexible structure to model the...

Hanan Samet – College Park, MD, United States

Issues in Spatial Databases and Geographic Information Systems (GIS)
An introduction is given to the spatial database issues involved in the design of geographic information systems (GIS) from the perspective of a computer scientist. Some of the topics...
Reading News with Maps by Exploiting Spatial Synonyms
NewsStand is an example application of a general framework to enable people to search for information using a map query interface, where the information results from monitoring the output...
Scalable Network Distance Browsing in Spatial Databases*
An algorithm is presented for finding the k nearest neighbors in a spatial network in a best-first manner using network distance. The algorithm is based on precomputing the shortest paths...

Robert P. Schumaker – New Britain, CT, United States

A Descriptive Analysis of Abnormal Stock Price Movement Following Financial News Article Release
What effect does a financial news article have on stock price? To answer this question we investigate stock price movements within the minutes following financial news...
Analysis of Stock Price Movement Following Financial News Article Release
What effect does a financial news article have on stock price? To answer this question we investigate...
Evaluating Sentiment in Financial News Articles

Can the choice of words and tone used by the authors of financial news articles correlate to measurable stock price movements? If so, can the magnitude of...
Machine Learning the Harness Track: Crowdsourcing and Varying Race History
Racing prediction schemes have been with mankind a long time. From following crowd wisdom and betting on favorites to mathematical methods like the Dr. Z System, we introduce a...
Predicting Wins and Spread in the Premier League Using a Sentiment Analysis of Twitter
Can the sentiment contained in tweets serve as a meaningful proxy to predict match outcomes and if so, can the magnitude of outcomes be predicted based on a degree of sentiment? To answer...
Prediction from Regional Angst - A Study of NFL Sentiment in Twitter Using Stock Market Charting
A three-game losing streak and Chicago Bears fans are hopeful, whereas a two-game winning streak and Oakland Raiders fans are expecting the worst. Two different fan-bases...

Marc Shapiro – Paris, France

Just-Right Consistency (As available as possible, consistent when necessary)
In a distributed data store, the CAP theorem forces a choice between strong consistency (CP) and availability and responsiveness (AP) when the network can partition. To address this...

Xipeng Shen – Raleigh, NC, United States

Reciprocity between Compilers and Machine Learning
In this talk, Dr. Xipeng Shen will discuss two fundamental questions in two different disciplines: (1) Machine learning (ML) researchers have devoted decades of manual efforts, documented...
Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup
This paper presents Yinyang K-means, a new algorithm for K-means clustering. By clustering the centers in the initial stage, and leveraging efficiently maintained lower and upper bounds between a...

Biplav Srivastava – Yorktown Heights, NY, United States

Big, Open, Data and Semantics for a Real-World Application Near You

State-of-the-art Artificial Intelligence (AI) and data management techniques have been demonstrated to process large volumes of noisy data to extract meaningful patterns and drive...
Putting Water Quality Data to Productive Use by Integrating Historical and Real-time Sensing Data
Water is unique in its role as a life preserver. It is important to all members of a society. However, if one is looking for quality data to make data-driven decisions, one is lost. This is...

Shan Suthaharan – Greensboro, NC, United States

Software engineering schema for data science and big data
This talk will present a newly created software development framework called SETh - it stands for software engineering theoretical framework. It comprises six visual models - TBoSE, TCoSE, TDoSE,...

Ranjith Tharayil – Bangalore, India

Adapting BDD for software maintenance projects using the dEep model.
Behaviour driven development has been a tried and tested technique to help us build the right product. In the recent years many teams who are in green field development projects are...
Automated Unit testing is a necessity but, TDD a necessity or luxury?
We all know that Test driven development, TDD is much better than test last approach, in test last we write unit tests after writing the required code. But somehow the industry still doesn’t...
Change Vector Tracking in emergent design
Software design is a field that has always fascinated me and I have tried to be an obedient student trying to learn this art. Like any other design problem, software design is also a wicked...
The craft of business driven design
Even if we could produce completely bug-free software, that does not necessarily mean that the software design is of great quality, and if the software design does not reflect your business...
When and How to embrace Behaviour Driven Development?
Behaviour Driven Development (BDD) is a collaborative and disciplined technique to help us build the right product. In the last decade BDD has had her own bit of glory and criticism. Many...

André Tricot – Toulouse, France

The upward and downward links between credibility, trust and authority
The Internet and its main tools (Google, Wikipedia, Facebook, Tweeter) deeply raise and renew fundamental questions, that everyone asks almost everyday: Is this information or content true? Can I...

Paolo Trunfio – Rende, Italy

Using Scalable Data Mining for Predicting Flight Delays
Flight delays are frequent all over the world (about 20% of airline flights arrive more than 15 minutes late) and they are estimated to have an annual cost of several tens of billion dollars. This...
Using Social Media Analysis to Discover Mobility Patterns in Public Events
The widespread use of social media platforms such as Twitter and Instagram allows scientists to collect huge amount of data posted by people interested in a given topic or attending a popular...

Jean Vanderdonckt – Louvain-La-Neuve, Belgium

Distributed User Interfaces.
Distributed User Interfaces (DUIs) are user interfaces whose elements are distributed in time and space in order to support one or many users to carry out one or many tasks on one or many domains...
Heuristic evaluation of user interfaces.
Heuristic evaluation is a usability inspection method that consists of submitting any user interface of an interactive system to a set of recognized principles, called heuristics. These heuristics...
Model-based and Model-driven engineering of user interfaces: The UsiXML experience.

In order to be relieved from empirical and opportunistic development of user interfaces and to promote a genuine and rigorous approach throughout the development life cycle,...

Rakesh Verma – Houston, TX, United States

Security Analytics - The New Frontier in Cyber Security ?
Techniques from Data Analytics, by which I mean: Natural Language Processing, Data Mining, Machine Learning and Statistics, are being applied increasingly to security challenges such as phishing,...

Ellen M Voorhees – Gaithersburg, MD, United States

Information Retrieval Challenge Problems
The Text REtrieval Conference (TREC) is a series of workshops designed to advance the state-of-the-art in information retrieval by providing the infrastructure necessary for large-scale...
Measuring Search Effectiveness
In contrast to most areas of computer science research, information retrieval research has a rich tradition of experimentation dating back to the 1960s. This experimental methodology...
The Text REtrieval Conference
The Text REtrieval Conference (TREC) project at the National Institute of Standards and Technology has created standard test sets and evaluation methodology to support the development of...

Ingmar G Weber – Doha, Qatar

A Digital Socioscope
How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This talk introduces the audience to the methods, opportunities, and...
Digital Demography
Demography is the science of human populations and, at its most basic, focuses on the processes of (i) fertility, (ii) mortality and (iii) migration. Knowing basic population characteristics if of...
Introduction to Computational Social Science
Due to the increasing availability of large-scale data on human behavior collected on the social web, as well as advances in analyzing larger and larger data sets, interest in applying...
Using Social Media for Health Studies
Given that users share all kinds of minutiae on social media, can this noisy, crowd-sourced data be used for health studies? This talk presents a number of recent examples that show the...

Tao Xie – Raleigh, IL, United States

Improving Software Reliability via Mining Software Engineering Data
Since late 90’s, various data mining techniques have been applied to analyze software engineering data, and have achieved many noticeable successes in improving software reliability....
Software Analytics: Data Analytics for Software Engineering
A huge wealth of various data exists in software life cycle, including source code, feature specifications, bug reports, test cases, execution traces/logs, and real-world user feedback, etc. Data...
Teaching and Learning Programming and Software Engineering via Interactive Gaming
Pex4Fun (http://www.pex4fun.com/) and Code Hunt (https://www.codehunt.com/), released by Microsoft Research, offer a web-based educational gaming platform for teaching and learning programming and...
Text Analytics for Mobile App Security and Beyond
Mobile apps are accompanied by a rich amount of natural language text: app descriptions, app user reviews, update/release notes, etc. Such natural language text is essential in conveying important...

Demetrios Zeinalipour-Yazti – Nicosia, Cyprus

"Telco Big Data: Current State & Future Directions"
A Telecommunication company (Telco) is traditionally only perceived as the entity that provides telecommunication services, such as telephony and data communication access to users. However, the...
Internet-based Indoor Navigation Services
This talk presents the fundamental mobile data management concepts behind the realization of innovative indoor information services that deal with all aspects of handling indoor data as a...