23 Result(s)

Chapter

Optimizing Data Coverage and Significance in Multiple Hypothesis Testing on User Groups

We tackle the question of checking hypotheses on user data. In particular, we address the challenges that arise in the context of testing an input hypothesis on many data samples, in our case, user groups. Thi...

Nassim Bouarour, Idir Benouaret… in Transactions on Large-Scale Data- and Know… (2022)

Reference Work Entry In depth

Social Media Analytics

Sihem Amer-Yahia, Alexandre Termier… in Encyclopedia of Database Systems (2018)

Reference Work Entry In depth

Structure Analytics in Social Media

Sihem Amer-Yahia, Mahashweta Das, Gautam Das… in Encyclopedia of Database Systems (2018)

Reference Work Entry In depth

Text Analytics in Social Media

Sihem Amer-Yahia, Sofiane Abbar, Noha Ibrahim in Encyclopedia of Database Systems (2018)

Reference Work Entry In depth

Interactive Analytics in Social Media

Sihem Amer-Yahia, Alexandre Termier… in Encyclopedia of Database Systems (2018)

Reference Work Entry In depth

Temporal Analytics in Social Media

Sihem Amer-Yahia, Themis Palpanas, Mikalai Tsytsarau… in Encyclopedia of Database Systems (2018)

Reference Work Entry In depth

Human Factors Modeling in Crowdsourcing

Sihem Amer-Yahia, Senjuti Basu Roy, Gautam Das… in Encyclopedia of Database Systems (2018)

Living Reference Work Entry In depth

Text Analytics in Social Media

Sihem Amer-Yahia, Sofiane Abbar, Noha Ibrahim in Encyclopedia of Database Systems

Living Reference Work Entry In depth

Structure Analytics in Social Media

Sihem Amer-Yahia, Mahashweta Das, Gautam Das… in Encyclopedia of Database Systems

Living Reference Work Entry In depth

Temporal Analytics in Social Media

Sihem Amer-Yahia, Themis Palpanas, Mikalai Tsytsarau… in Encyclopedia of Database Systems

Living Reference Work Entry In depth

Interactive Analytics in Social Media

Sihem Amer-Yahia, Alexandre Termier… in Encyclopedia of Database Systems

Living Reference Work Entry In depth

Human Factors Modeling in Crowdsourcing

Sihem Amer-Yahia, Senjuti Basu Roy, Gautam Das… in Encyclopedia of Database Systems

Chapter and Conference Paper

TopPI: An Efficient Algorithm for Item-Centric Mining

We introduce TopPI, a new semantics and algorithm designed to mine long-tailed datasets. For each item, and regardless of its frequency, TopPI finds the k most frequent closed itemsets that item belongs to. For e...

Martin Kirchgessner, Vincent Leroy… in Big Data Analytics and Knowledge Discovery (2016)

Article

PGLCM: efficient parallel mining of closed frequent gradual itemsets

Numerical data (e.g., DNA micro-array data, sensor data) pose a challenging problem to existing frequent pattern mining methods which hardly handle them. In this framework, gradual patterns have been recently ...

Trong Dinh Thac Do, Alexandre Termier, Anne Laurent… in Knowledge and Information Systems (2015)

Chapter

Increasing Coverage in Distributed Search and Recommendation with Profile Diversity

With the advent of Web 2.0 users are producing bigger and bigger amounts of diverse data, which are stored in a large variety of systems. Since the users’ data spaces are scattered among those independent syst...

Maximilien Servajean, Esther Pacitti… in Transactions on Large-Scale Data- and Know… (2015)

Chapter

Optimizing Tree Pattern Queries over Secure XML Databases

The rapid emergence of XML as a standard for data representation and exchange over the Web has sparked considerable interest in models and efficient mechanisms for controlled access, especially using queries, ...

Hui Wang, Divesh Srivastava… in Secure Data Management in Decentralized Sy… (2007)

Chapter and Conference Paper

Expressiveness and Performance of Full-Text Search Languages

We study the expressiveness and performance of full-text search languages. Our motivation is to provide a formal basis for comparing full-text search languages and to develop a model for full-text search that ...

Chavdar Botev, Sihem Amer-Yahia… in Advances in Database Technology - EDBT 2006 (2006)