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

Available Speakers on this Topic

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...

Santhosh Kumar Balan – Hyderabad, India

  • Data Analysis using Jupyter Notebook
    Data analysis is a cycle of reviewing, purging, changing and demonstrating data with the objective of finding valuable data, advising ends and supporting dynamic. Data analysis has various...
  • Data Science
    Data is the center of ventures and organizations in the present time. With the ascent in Big Data associations around the world are taking a gander at the capability of data available to...
  • Data Science for Beginners
    Data Science is the zone of study which includes extricating experiences from huge measures of data by the utilization of different logical techniques, calculations, and cycles. It...
  • Data Science-Art of Life
    As the world entered the period of enormous data, the requirement for its stockpiling likewise developed. It was the primary test and worry for the undertaking enterprises until 2010. The...
  • Research issues in Data Mining
    Data Mining is characterized as the methodology of extricating data from gigantic arrangements of data. At the end of the day, we can say that data mining will be mining information from...

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...

Sharma Chakravarthy – Bedford, TX, 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...

Ujwal Gadiraju – Delft, Netherlands

  • Supporting Knowledge Gain in Web Search Sessions
    More than half of the world’s population has access to the Internet today. Satisfying one’s information needs has never been easier and more ubiquitous. We can catch ourselves turning...

Javier Gonzalez-Sanchez – Tempe, AZ, United States

Giancarlo Guizzardi – Bolzano, Italy

Nikolas Ioannou – Zurich, Switzerland

Anura Jayasumana – Fort Collins, CO, United States

Latifur Rahman Khan – Plano, TX, 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...

Asad Masood Khattak – Abu Dhabi, United Arab Emirates

Zitao Liu – Beijing, China

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...

Themis Palpanas – Paris, France

Ebin Deni Raj – Pala, Kottayam, India

Ashish Seth – Tashkent, Uzbekistan

  • Data Analysis Using R programming
    Data have become a real resource of interest across most industries and is rightly considered the gateway to competitive advantage and disruptive strategy. Along with the rise of data,...

Neha Sharma – Pune, India

  • Demystifying Data Science
    Data science is known as a "fourth paradigm" of science (empirical, theoretical, computational and now data science), mainly due to the present data surge. The society is transforming...
  • Journey from Data To Data Product
    The APIs published by Netflix, LinkedIn, Twitter, Facebook etc are the examples of data product. The lecture would emphasize on the journey of data from being raw to getting converted to data...
  • Network Analytics

    Network Analysis is a subset of unsupervised Analytics ie. Data Mining Process / Machine Learning....

  • Unchain the Block Chain
    Blockchain technology or Distributed ledger technology (DLT) refers to a type of database spread over multiple locations, which can be used like a digital ledger to record and manage...
  • Use of Open Data for sustainable community
    The contribution to Community and Environment is part of every body’s responsibility. The lecture on “Use of Open Data for Sustainable Community” is an attempt to bring out value...

Christoph Trattner – Bergen, Norway

  • Data Science on the Web for Better Food Decision Making
    According to the World Health Organization around 80% of cases of heart disease, strokes and type 2 diabetes could be avoided if people were to implement a healthier diet. Computational data...
  • Online food recommendations
    Similar to Online food recommendations: A complex problem? but also adresses the propblem of Similar food recommendations and gives insightes to the problme of collaborative filtering vs...
  • Online food recommendations: A complex problem?
    The problem of recommending food to people has recently become an active field of research. While there is a growing body of work investigating how online food recommender systems could...

Athena Vakali – Thessaloniki, Greece

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...