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Forthcoming Data Preparation & Mining Books

You are currently browsing 1–10 of 41 forthcoming new books in the subject of Data Preparation & Mining — sorted by publish date from upcoming books to future books.

For books that are already published; please browse available books.

Forthcoming Books

  1. Data Classification

    Algorithms and Applications

    Edited by Charu C. Aggarwal

    Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

    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...

    To Be Published July 28th 2014 by Chapman and Hall/CRC

  2. Big Data Analytics Strategies for the Smart Grid

    By Carol L. Stimmel

    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...

    To Be Published August 4th 2014 by Auerbach Publications

  3. Ambient Diagnostics

    By Yang Cai

    Ambient Diagnostics addresses innovative methods for discovering patterns from affordable devices, such as mobile phones, watches, cameras, and game interfaces, to interpret multimedia data for personal health monitoring and diagnosis. This is the first comprehensive textbook for multidisciplinary...

    To Be Published August 5th 2014 by CRC Press

  4. Robust Cluster Analysis and Variable Selection

    By Gunter Ritter

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    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...

    To Be Published September 1st 2014 by Chapman and Hall/CRC

  5. Machine Learning

    An Algorithmic Perspective, Second Edition

    By Stephen Marsland

    Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

    Along with updating all chapters and Python code examples, the second edition of this bestseller includes new chapters on Gaussian processes, Boltzmann machines, and deep belief networks. It also revises coverage of kernel methods and adds new material on random forests and model selection. The...

    To Be Published October 6th 2014 by Chapman and Hall/CRC

  6. Visualization Analysis and Design

    By Tamara Munzner

    Series: AK Peters Visualization Series

    Suitable for readers with a computer science background as well as those in geography and other disciplines where visualization techniques are used, this book presents a new model of visualization that unifies design and evaluation issues in a single framework. It splits the design issues into four...

    To Be Published October 7th 2014 by A K Peters/CRC Press

  7. LogiQL

    A Query Language for Smart Databases

    By Terry Halpin, Spencer Rugaber

    Series: Emerging Directions in Database Systems and Applications

    This book introduces readers to programming in Datalog, which is a subset of Prolog, a general purpose logic programming language associated with AI and computational linguistics. The book shows how Datalog deals with large data sets while avoiding low-level implementation details found in other...

    To Be Published October 19th 2014 by CRC Press

  8. Regularization, Optimization, Kernels, and Support Vector Machines

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

    Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

    Featuring contributions from leading experts, this volume provides an up-to-date look at large-scale machine learning. It comprehensively covers the latest research and advances in regularization, sparsity, and compressed sensing; convex and large-scale optimization; and kernel methods and SVMs....

    To Be Published October 23rd 2014 by Chapman and Hall/CRC

  9. Fundamentals of Database Indexing and Searching

    By Arnab Bhattacharya

    One of the most common and fundamental issues in large collections of data is the problem of searching for a particular piece of information efficiently. This book is the first of its kind to discuss back-end database indexing techniques that make searching efficient. It not only describes basic...

    To Be Published November 12th 2014 by Chapman and Hall/CRC

  10. Sparse Modeling

    Theory, Algorithms, and Applications

    By Irina Rish, Genady Grabarnik

    Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

    Sparse modeling is an important issue in many applications of machine learning and statistics where the main objective is discovering predictive patterns in data to enhance understanding of underlying physical, biological, and other natural processes. This book surveys recent advances in statistics...

    To Be Published December 3rd 2014 by CRC Press