Data Mining Text Mining Visual Mining Olap 2 PDF Download

                                                  Data Mining  Text Mining  Visual Mining  OLAP  2         PDF
Author: Барсегян А.
Publisher: БХВ-Петербург
ISBN: 5941579918
Size: 21.86 MB
Format: PDF, Mobi
Category : Education
Languages : ru
Pages : 384
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Data Mining Text Mining Visual Mining Olap 2 Book Description:

Книга является вторым, обновленным и дополненным, изданием учебного пособия Методы и модели анализа данных: OLAP и Data Mining. Излагаются основные направления в области разработки корпоративных систем: организация хранилищ данных, распределенный, оперативный (OLAP), интеллектуальный (Data Mining), визуальный (Visual Mining) и текстовый (Text Mining) анализ данных. Приведено описание методов и алгоритмов решения основных задач анализа: классификации, кластеризации и др. Описание идеи каждого метода дополняется конкретным примером его применения. Прилагается компактдиск, содержащий стандарты Data Mining, библиотеку алгоритмов Xelopes, лабораторный практикум по интеллектуальному анализу данных и соответствующее программное обеспечение. Файлы для книги можно скачать по ссылке ftp://ftp.bhv.ru/9785941579914.zip

Data Mining PDF Download

                                                                                      Data Mining                                                                                                               PDF
Author: А. Крюкова
Publisher: Litres
ISBN: 5041605122
Size: 39.23 MB
Format: PDF, Kindle
Category : Technology & Engineering
Languages : ru
Pages :
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Data Mining Book Description:

Сегодня коммерческой организации приходится действовать в жестких условиях рынка. Чтобы оставаться конкурентноспособной, необходимо активно использовать современные информационные технологии, в частности, Data Mining. Авторы демонстрируют эффективность применения упомянутой технологии в разрезе анализа клиентской информации на примере телекоммуникационной компании, а также выявляют метод, который наилучшим образом подойдет для обработки выбранного набора данных. С этой целью средствами аналитического пакета Orange была проведена серия экспериментов, заключавшаяся в оценке качества прогностических моделей, построенных на основе методов Data Mining. Все рассмотренные методы продемонстрировали высокие результаты, однако наиболее предпочтительными по совокупности характеристик являются «Случайный лес» и «Метод опорных векторов».

Data Mining PDF Download

Data mining                                                                                                                             PDF
Author: Владимир Рафалович
Publisher: Litres
ISBN: 5040345364
Size: 63.61 MB
Format: PDF, ePub
Category : Computers
Languages : ru
Pages :
View: 1994

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Data Mining Book Description:

Что такое информация? Как можно проанализировать данные, которые у вас есть? А если данных очень много и они требуют вычислительной мощи современных компьютеров? Какие выводы можно сделать из этого массива данных? Может – никаких, а может – это неиссякаемый источник, приносящий все новые возможности.Самое ценное, что есть у любого человека, это его знания, помноженные на опыт. Эта книга помогает занятому человеку быстро погрузиться в увлекательный мир интеллектуального анализа данных с целью извлечения полезной информации, которую можно использовать в дальнейшем, например, в бизнесе или в принятии решений. Эта деятельность по-английски называется Data mining и содержит методы, используемые самыми разными специалистами-аналитиками, исследующими медицинские, политические, экономические и другие всевозможные источники данных.Предполагается, что читатель более-менее знаком с Excel и пользуется им время от времени. Знания SQL-сервера не требуется, но полезно иметь.

Data Mining Southeast Asia Edition PDF Download

Data Mining  Southeast Asia Edition PDF
Author: Jiawei Han
Publisher: Elsevier
ISBN: 9780080475585
Size: 18.37 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 800
View: 7550

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Data Mining Southeast Asia Edition Book Description:

Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data— including stream data, sequence data, graph structured data, social network data, and multi-relational data. A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects Complete classroom support for instructors at www.mkp.com/datamining2e companion site

Data Mining PDF Download

Data Mining PDF
Author: Krzysztof J. Cios
Publisher: Springer Science & Business Media
ISBN: 0387367950
Size: 25.54 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 606
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Data Mining Book Description:

This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence in which data mining projects should be performed, from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes Data Mining from other texts in this area. The book provides a suite of exercises and includes links to instructional presentations. Furthermore, it contains appendices of relevant mathematical material.

Principles Of Data Mining PDF Download

Principles of Data Mining PDF
Author: David J. Hand
Publisher: MIT Press
ISBN: 9780262082907
Size: 12.11 MB
Format: PDF
Category : Computers
Languages : en
Pages : 546
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Principles Of Data Mining Book Description:

Measuremente and Data. Visualizing and Exploring Data. Data Analysis and Uncertainty. A Systematic Overview of Data Mining Algorithms. Models and Patterns. Score Functions for Data Mining Algorithms. Serach and Optimization Methods. Descriptive Modeling. Predictive Modeling for Classification. Predictive Modeling for Regression. Data Organization and Databases. Finding Patterns and Rules. Retrieval by Content.

Data Mining For Business Applications PDF Download

Data Mining for Business Applications PDF
Author: Longbing Cao
Publisher: Springer Science & Business Media
ISBN: 0387794204
Size: 75.84 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 302
View: 4315

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Data Mining For Business Applications Book Description:

Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery” for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business.

Advanced Data Mining Techniques PDF Download

Advanced Data Mining Techniques PDF
Author: David L. Olson
Publisher: Springer Science & Business Media
ISBN: 9783540769170
Size: 51.17 MB
Format: PDF
Category : Business & Economics
Languages : en
Pages : 180
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Advanced Data Mining Techniques Book Description:

This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining.

Data Mining PDF Download

Data Mining PDF
Author: Ian H. Witten
Publisher: Elsevier
ISBN: 9780080477022
Size: 31.59 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 560
View: 2183

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Data Mining Book Description:

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

Principles Of Data Mining PDF Download

Principles of Data Mining PDF
Author: Max Bramer
Publisher: Springer Science & Business Media
ISBN: 9781846287664
Size: 19.12 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 344
View: 5520

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Principles Of Data Mining Book Description:

This book explains the principal techniques of data mining: for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples and explanations of the algorithms given. This will benefit readers of all levels, from those who use data mining via commercial packages, right through to academic researchers. The book aims to help the general reader develop the necessary understanding to use commercial data mining packages, and to enable advanced readers to understand or contribute to future technical advances. Includes exercises and glossary.