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Category: Computers and Internet

The Design of Approximation Algorithms

This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. Designed as a textbook for graduate-level algorithms courses, the book will also serve as a reference for researchers who are interested in the heuristic solution of discrete optimization problems.

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Introduction to Information Retrieval

The book aims to provide a modern approach to information retrieval from a computer science perspective. It is based on a course Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze have been teaching in various forms at Stanford University, the University of Stuttgart and the University of Munich.

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Algorithms for Clustering Data

This book will be useful for those in the scientific community who gather data and seek tools for analyzing and interpreting data. It will be a valuable reference for scientists in a variety of disciplines and can serve as a textbook for a graduate course in exploratory data analysis as well as a supplemental text in courses on research methodology, pattern recognition, image processing, and re-mote sensing.

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The Future of News As We Know It

There is far more that matters than any one of us can follow. In most cases, the limiting factor in journalism is not what was reported but the attention we can pay to it. Yet we still need news. Something’s got to give. So what if we abandon the idea that everyone sees the same stories?

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Twitter Data Analytics

This book provides hands-on introduction to the collection and analysis of Twitter data from the perspective of a novice. No knowledge of data analysis, or social network analysis is presumed. For all the concepts discussed in this book, we will provide in-depth description of the underlying assumptions and explain via construction of examples.

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