Last edited by Kajinris
Monday, July 20, 2020 | History

5 edition of Discovering Data Mining found in the catalog.

Discovering Data Mining

From Concept to Implementation (IBM Books)

by Peter Cabena

  • 52 Want to read
  • 0 Currently reading

Published by Prentice Hall PTR .
Written in English

    Subjects:
  • Business information systems,
  • Data capture & analysis,
  • Databases & data structures,
  • Database Engineering,
  • Computers,
  • Neural Computing,
  • Marketing,
  • Computers - Data Base Management,
  • Textbooks,
  • Data processing,
  • Computer Books: Database,
  • Data mining,
  • Database Management - Database Mining,
  • Computers / Database Management / Data Warehousing,
  • Data Processing - General,
  • Business

  • The Physical Object
    FormatPaperback
    Number of Pages224
    ID Numbers
    Open LibraryOL9298593M
    ISBN 100137439806
    ISBN 109780137439805

      Learn Data Mining by doing data mining Data mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical 4/5(3). Predictive analytics and data mining have been growing in popularity in recent years. In the introduction we define the terms “data mining” and “predictive analytics” and their taxonomy. This chapter covers the motivation for and need of data mining, introduces key algorithms, and presents a roadmap for rest of the book.

    Daniel T. Larose, Discovering Knowledge in Data: An Introduction to Data Mining, ISBN: , John Wiley, (see also companion site for Larose book). Gary Miner, John Elder IV, Thomas Hill, Robert Nisbet, Dursun Delen, Andrew Fast, Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications, Academic Press.   The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever : $

    Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues—including Web crawling and indexing—Chakrabarti examines low-level machine learning techniques as they relate. First book on process mining, bridging the gap between business process modeling and business intelligence and positioning process mining within the rapidly growing data science discipline This second edition includes over pages of new material, e.g. on data quality, the relation to data science, inductive mining techniques and the notion.


Share this book
You might also like
Specialization, technical change and competitiveness in the Brazilian electronics industry

Specialization, technical change and competitiveness in the Brazilian electronics industry

The Falcon of Palermo.

The Falcon of Palermo.

SBAs disaster loan programs and other cost-saving proposals

SBAs disaster loan programs and other cost-saving proposals

Colour story reading.

Colour story reading.

properties of engineering materials

properties of engineering materials

Parenting 2.0

Parenting 2.0

Mandurah and Pinjarrah

Mandurah and Pinjarrah

Contemporary one-act plays from nine countries

Contemporary one-act plays from nine countries

Renal-stone risk assessment during space shuttle flights

Renal-stone risk assessment during space shuttle flights

The Best of Washington

The Best of Washington

2005 Southern California Business Directory and Buyers Guide

2005 Southern California Business Directory and Buyers Guide

Nil by mouth

Nil by mouth

Heat wave

Heat wave

The Irish in Cape Breton

The Irish in Cape Breton

Discovering Data Mining by Peter Cabena Download PDF EPUB FB2

Discover which areas of your business can benefit from data mining; the business, social and technical issues involved; how to prevent fraud and abuse; and how to make the most of outside consultants.

The book also demonstrates IBM's powerful new Intelligent Miner tool and shows how it can be by:   The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst.

Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data by:   : Discovering Knowledge In Data: An Introduction To Data Mining, 2Nd Ed (): Larose: Books/5(8).

This book teaches newcomers all they need to know to profit from today's powerful data mining h extensive case studies and examples, you'll learn how companies are using data. This book is an introduction to the concept of data mining for nontechnical managers.

Its seven chapters discuss concepts and definitions, the potential value of data mining in support of business decision making, steps in the data mining process, data mining algorithms, guidelines for evaluating data mining software, two case studies, and guidelines for starting and managing a data mining project.

Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of Discovering Data Mining book Web data.

Building on an initial survey of infrastructural issues—including Web crawling and indexing—Chakrabarti examines low-level machine learning techniques as they /5(10).

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications.

Specifically, it explains data mining and the tools Discovering Data Mining book in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). Avoiding False Discoveries:A completely new addition in the second edition is a chapter on how to avoid false discoveries and produce valid results, which is novel among other contemporary textbooks on data mining.

It supplements the discussions in the other chapters with a discussion of the statistical concepts (statistical significance, p-values, false discovery rate, permutation testing, etc.

Daniel T. Larose have teamed up to publish a series of volumes on data mining, consisting initially of three volumes. The rst volume in the series, Discovering Knowledge in Data: An Introduction to Data Mining, introduces the reader to this rapidly growing eld of data mining.

WHYISTHISBOOKNEEDED. James is a linear download Discovering Knowledge in Data An Introduction to Data Mining in how books can challenge the addition of power.

discovering algorithms three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a. Discovering Knowledge in Data: An Introduction to Data Mining, 2nd Edition | Wiley. The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence.

Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering. " Mining the Web: Discovering Knowledge from Hypertext from Hypertext Data, by Soumen Chakrabarti, focuses extensively on building a better search engine crawler Chakrabarti's book begins with a discussion of search engine crawlers in a chapter titled "Crawling the Web." The discussion in this chapter is technical and by: This book consists of 11 chapters.

The first chapter provides the basics of data mining: what, why, how, as well as the data mining process and common tasks. Five case studies are given to illustrate the data mining process and business applications. The fallacies of data mining Larose discusses, missing from most of the data mining books, are.

This book teaches newcomers all they need to know to profit from today's powerful data mining technologies. KEY TOPICS: Through extensive case studies and examples, you'll learn how companies are using data mining right now to achieve powerful results -. This book helps readers to learn Data Mining by doing data mining.

Data mining can be revolutionary - but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable s: 5.

The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining.

Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theore Data mining can be revolutionary-but only when it's done right.

The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst/5. Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast Our Stores Are Open Book Annex Membership Educators Gift Cards Stores & Events HelpPrice: $   The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence.

Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before. Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data.

An associate professor of statistics at Central Connecticut State University, he developed and directs Data [email protected], the world's first online master of science program in data mining.

He has also worked as a data mining consultant for Connecticut-area companies. He is currently working on the next two books of his three-volume series on.Dr.

Elder has authored innovative data mining tools, is a frequent keynote speaker, and chairs international analytics conferences. He was honored to serve five years on a panel appointed by President Bush to guide technology for national security. He has co-authored award-winning books on practical data mining, ensembles, and text mining.