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Kernelization: Theory of Parameterized Preprocessing

Data Science in Context: Foundations, Challenges, Opportunities

Data science in context: foundations, challenges, opportunities

Introduction To Database And Knowledge-base Systems : 28

Understanding And Learning Statistics By Computer : 4

Computational Approaches to the Network Science of Teams

Purely Functional Data Structures

Bioinformatics for Biologists

Mobility data: modeling, management, and understanding

Mobility Data: Modeling, Management, and Understanding

Calendrical calculations

Algorithms and models for network data and link analysis

Kernelization: Theory of Parameterized Preprocessing

Small Summaries for Big Data

Algorithmic Randomness: Progress and Prospects : no. 50

Foundations of data exchange

Foundations of Data Exchange

Introduction to Description Logic

An introduction to description logic

Graphical models for categorical data

Topics at the frontier of statistics and network analysis: (re)visiting the foundations

Mining of massive datasets.

Hacking h(app)iness: why your personal data counts and how tracking it can change the world

Computational Approaches to the Network Science of Teams

Data-Intensive Computing: Architectures, Algorithms, and Applications

Bioinformatics for biologists

SQL Server Database Programming With Visual Basic.net: Concepts, Designs and Implementations

Privacy, Big Data, and the Public Good: Frameworks for Engagement

Privacy, big data, and the public good: frameworks for engagement

Big Data over Networks

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