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

Available Speakers on this Topic

Sören Auer – Leipzig, Germany

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

  • 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...
  • 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...

Athman Bouguettaya – Sydney, NSW, Australia

  • From IoT Data to Services
    The Internet of Things (IoT) is fast becoming a reality with a range of everyday “things” becoming sensor-equipped and internet connected. Ultimately, everything that we see and...
  • Taming Big Data
    Big data is here and in a big way.  Big data is coming from all sorts of sources and means, including sensors, deep space exploration, social media, smartphones, genomic, etc.  The cloud...

Syed Ahmad Chan Bukhari – CT, United States

Sharma Chakravarthy – Bedford, TX, United States

Dipankar Dasgupta – Memphis, TN, United States

Gianluca Demartini – Queensland, Australia

  • Knowledge Graphs for Entity-centric Information Access
    Knowledge Graphs (KGs) contain structured information about entities such as persons, locations, and organizations. Modern web search engines leverage such KGs to power entity-oriented...
  • The Power of Big Data
    More and more data is being generated around us by every activity in our daily life. Such large amounts of data are changing the way in which we do things and are used by companies and...

Marcus Foth – Brisbane, QLD, Australia

Javier Gonzalez-Sanchez – Tempe, AZ, United States

Laura M Haas – San Jose, CA, United States

James D Herbsleb – Pittsburgh, PA, United States

  • 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...

Panos Ipeirotis – New York, NY, United States

Seiji Isotani – Sao Carlos - SP, Brazil

Anura Jayasumana – Fort Collins, CO, United States

Uri Kartoun – Cambridge, MA, United States

Wajahat Ali Khan – Derby, United Kingdom

  • Interoperability among Medical Systems

    Over the last decade, rapid digitization in the field of healthcare information management, has compounded the problem of Heterogeneity, through the development of a...

  • Medical Silo Construction Methodology
    This study will demonstrate silo construction process for different clinical domains such as cardiovascular, diabetes, epilepsy, kidney, ear throat nose (ENT), thyroid cancer, and head and neck...

Anis Koubaa – Riyadh, Saudi Arabia

Georgia Koutrika – Athens, Greece

Masaaki Kurosu – Tokyo, Japan

Dongwon Lee – State College, PA, 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...

Zitao Liu – Beijing, China

Sanjay Kumar Madria – Rolla, MO, United States

Animesh Mukherjee – Kharagpur, India

Kayal Padmanandam – Hyderabad, India

  • Data Science Foundation using R Programming
    Data science is a multifaceted research domain that uses scientific methods, processes, algorithms, and systems to dredge knowledge and insights from structured and unstructured data. This...

Vishnu S Pendyala – San Jose, CA, United States

Ebin Deni Raj – Pala, Kottayam, India

Shrisha Rao – Bangalore, India

  • 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 – San Francisco, United States

  • 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...

Hanan Samet – College Park, MD, United States

Jibonananda Sanyal – Oak Ridge, TN, United States

  • Accelerated Global Human Settlement Discovery
    Understanding where people live is fundamental to understanding what people do and what their social needs are with respect to energy security; policy and urban development; resiliency;...
  • Data and Sensemaking
    Humans are generating data at an unprecedented scale and making sense of this data is increasingly a challenge. This talk weaves around experiences in deriving scientific knowledge from ensemble...
  • Deriving insight at the intersection of the Energy-Water Nexus
    Energy and water generation and delivery systems are inherently interconnected. With demand for energy growing, the energy sector is experiencing increasing competition for water. ...
  • Ensemble-Aware Uncertainty Visualization
    Understanding uncertainty in scientific simulations is fundamental in gaining reliable insight into a scientific process. In simulation and modeling, ensembles approaches are recognized as...

Shan Suthaharan – Greensboro, NC, United States

André Tricot – Toulouse, France

Paolo Trunfio – Rende, Italy

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

  • 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...

Ping Zhang – Columbus, OH, United States