Data Mining and Knowledge Discovery

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Data Mining and Knowledge Discovery

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Regularization, Optimization, Kernels, and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines

Johan A.K. Suykens, Marco Signoretto, Andreas Argyriou

October 23, 2014

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and...

Robust Cluster Analysis and Variable Selection

Robust Cluster Analysis and Variable Selection

Gunter Ritter

September 02, 2014

Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications...

Data Classification: Algorithms and Applications

Data Classification: Algorithms and Applications

Charu C. Aggarwal

July 25, 2014

Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data...

Big Data Analytics Strategies for the Smart Grid

Big Data Analytics Strategies for the Smart Grid

Carol L. Stimmel

July 25, 2014

By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid...

Large Scale and Big Data: Processing and Management

Large Scale and Big Data: Processing and Management

Sherif Sakr, Mohamed Gaber

June 25, 2014

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the...

Linked Data Management

Linked Data Management

Andreas Harth, Katja Hose, Ralf Schenkel

May 01, 2014

Linked Data Management presents techniques for querying and managing Linked Data that is available on today’s Web. The book shows how the abundance of Linked Data can serve as fertile ground for research and commercial applications. The text focuses on aspects of managing large-scale collections...

Big Data, Mining, and Analytics: Components of Strategic Decision Making

Big Data, Mining, and Analytics: Components of Strategic Decision Making

Stephan Kudyba

March 12, 2014

There is an ongoing data explosion transpiring that will make previous creations, collections, and storage of data look trivial. Big Data, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can leverage them to...

Mining User Generated Content

Mining User Generated Content

Marie-Francine Moens, Juanzi Li, Tat-Seng Chua

January 28, 2014

Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other networking sites, the social media shared by users and the associated metadata are collectively known as user generated content (UGC). To analyze UGC and glean insight about user behavior, robust techniques are needed...

Business Analytics: An Introduction

Business Analytics: An Introduction

Jay Liebowitz

December 19, 2013

Together, Big Data, high-performance computing, and complex environments create unprecedented opportunities for organizations to generate game-changing insights that are based on hard data. Business Analytics: An Introduction explains how to use business analytics to sort through an ever-increasing...

Computational Business Analytics

Computational Business Analytics

Subrata Das

December 14, 2013

Learn How to Properly Use the Latest Analytics Approaches in Your Organization Computational Business Analytics presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. Through many examples and challenging case studies from a variety...

Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data

Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data

Haiping Lu, Konstantinos N. Plataniotis, Anastasios Venetsanopoulos

December 11, 2013

Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more efficient...

Big Data Computing

Big Data Computing

Rajendra Akerkar

December 05, 2013

Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field...