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Data Mining
Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses. - Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methods - Performance improvement techniques that work by transforming the input or output
Algorithmic Learning Theory
This volume contains the papers presented at the 13th Annual Conference on Algorithmic Learning Theory (ALT 2002), which was held in Lub ̈ eck (Germany) during November 24–26, 2002. The main objective of the conference was to p- vide an interdisciplinary forum discussing the theoretical foundations of machine learning as well as their relevance to practical applications. The conference was colocated with the Fifth International Conference on Discovery Science (DS 2002). The volume includes 26 technical contributions which were selected by the program committee from 49 submissions. It also contains the ALT 2002 invited talks presented by Susumu Hayashi (Kobe University, Japan) on “Mathem...
Data Mining
Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learnin...
IBM Netcool Operations Insight Version 1.4: Deployment Guide
IBM® Netcool® Operations Insight integrates infrastructure and operations management into a single coherent structure across business applications, virtualized servers, network devices and protocols, internet protocols, and security and storage devices. This IBM Redbooks® publication will help you install, tailor, and configure Netcool Operations Insight Version 1.4. Netcool Operations Insight consists of several products and components that can be installed on many servers in many combinations. You must make many decisions, both critical and personal preference. The purpose of this document is to accelerate the initial deployment of Netcool Operations Insight by making preferred practice choices. The target audience of this book is Netcool Operations Insight deployment specialists.
DCC '99
Comprising the proceedings of the March 1999 conference, this volume contains 52 contributions arranged into nine sessions. Contributions address a wide range of topics, a selection of which includes generalized multiple description vector quantization; rate-distortion analysis of spike processes; quadtree classification and TCQ image coding; linear global detectors of redundant and rare substrings; protein incompressibility; offline dictionary-based compression; fast progressive wavelet coding; decision trees for error concealment in video decoding; and edge adaptive prediction for lossless image coding. Also includes 51 poster sessions. Lacks a subject index. Annotation copyrighted by Book News, Inc., Portland, OR.
IBM Netcool Operations Insight: A Scenarios Guide
IBM® Netcool® Operations Insight empowers your IT operations to use real-time and historical analytics to identify, isolate, and resolve problems before they affect your business. Powered by IBM Tivoli® Netcool/OMNIbus and the transformative capabilities of cognitive analytics, Netcool Operations Insight consolidates millions of alerts from across local, cloud, and hybrid environments into a few actionable problems. This IBM Redbooks® publication gives a broad understanding of Netcool Operations Insight and describes several scenarios that show the capabilities of this solution in a real-life environment. Each scenario features a different capability of Netcool Operations Insight. The scenarios are documented by using step-by-step figures with explanations to make them easier to implement in your own environment. The scenarios in this book are broken into the following categories: - Network management related scenarios - Network event and cognitive related scenarios - Network event related scenarios The target audience of this book is network specialists, network administrators, and network operators.
