Learn IT - Books tags mining

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (Massive Computing)

Springer, 2006

This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery (DM and KD). Its chapters combine many theoretical foundations for various DM and KD methods, and they present a rich array of examples – many of which are drawn from real-life applications. Most of the theoretical...

Waste Recycling Technologies for Nanomaterials Manufacturing (Topics in Mining, Metallurgy and Materials Engineering)

Springer, 2021

This book discusses the recent advances in the wastes recycling technologies to provide low-cost and alternative ways for nanomaterials production. It shows how carbon nanomaterials can be synthesized from different waste sources such as banana fibers, argan (Argania spinosa) seed shells, corn grains, camellia oleifera shell, sugar cane...

Sas R 9.1.3 Etl Studio: User's Guide

SAS Institute, 2004

This manual explains how to use SAS ETL Studio to specify metadata for sources, specify metadata for targets, and create jobs that specify how data is extracted, transformed, and loaded from sources to targets.

Features that are new in SAS ETL Studio 9.1.3 include the following:

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The Handbook of Data Mining

Lawrence Erlbaum Associates, 2003

With the rapid introduction of highly sophisticated computers, (tele)communication, service, and manufacturing systems, a major shift has occurred in the way people use technology and work with it. The objective of this book series on Human Factors and Ergonomics is to provide researchers and practitioners a platform where important issues related...

Handbook of Applied Algorithms: Solving Scientific, Engineering, and Practical Problems

John Wiley & Sons, 2008

Although vast activity exists, especially recent, the editors did not find any book that treats applied algorithms in a comprehensive manner. The editors discovered a number of graduate courses in computer science programs with titles such as “Design and Analysis of Algorithms, “Combinatorial Algorithms” “Evolutionary...

Markov Chains: Models, Algorithms and Applications (International Series in Operations Research & Management Science)

Springer, 2005

Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order...

High-Performance Scientific Computing: Algorithms and Applications

Springer, 2012

This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications. Features: includes contributions from...

Sas R 9.1.3 Language Reference: Concepts

SAS Institute, 2004

This title comprehensively documents essential concepts for SAS features, the DATA step, and SAS files so you can effectively manage your data.

SAS is a set of solutions for enterprise-wide business users as well as a powerful fourth-generation programming language for performing tasks such as these:

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Advanced Web Technologies and Applications

Springer, 2004

This book constitutes the refereed proceedings of the 6th Asia-Pacific Web Conference, APWeb 2004, held in Hangzhou, China, in April 2004.

The 60 revised full papers, 24 revised short papers, 15 revised poster papers, and 3 revised industrial papers presented together with 3 keynote papers and 3 invited papers were carefully reviewed and...

Data Protection in a Profiled World

Springer, 2010

One of the most challenging issues facing our current information society is the accelerating accumulation of data trails in transactional and communication systems, which may be used not only to profile the behaviour of individuals for commercial, marketing and law enforcement purposes, but also to locate and follow things and actions. Data...

Managing and Mining Graph Data (Advances in Database Systems)

Springer, 2010

Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific...

Managing and Mining Uncertain Data (Advances in Database Systems)

Springer, 2009

Uncertain data management has seen a revival in interest in recent years because of a number of new fields which utilize this kind of data. For example, in fields such as privacy-preserving data mining, additional errors may be added to data in order to mask the identity of the records. Often the data may be imputed using statistical methods...

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