HOME > Detail View

Detail View

Data mining : practical machine learning tools and techniques with Java implementations

Data mining : practical machine learning tools and techniques with Java implementations (Loan 4 times)

Material type
단행본
Personal Author
Witten, I. H. (Ian H.) Frank, Eibe.
Title Statement
Data mining : practical machine learning tools and techniques with Java implementations / Ian H. Witten, Eibe Frank.
Publication, Distribution, etc
San Francisco, Calif. :   Morgan Kaufmann,   2000.  
Physical Medium
xxv, 371 p. ; 24 cm.
ISBN
1558605525 (pbk.) 9781558605527 (pbk.)
요약
"This book offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you’ll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining - including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you’re involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource."--BOOK JACKET.
Content Notes
1. What's it all about? -- 2. Input: Concepts, instances, attributes -- 3. Output: Knowledge representation -- 4. Algorithms: The basic methods -- 5. Credibility: Evaluating what's been learned -- 6. Implementations: Real machine learning schemes -- 7. Moving on: Engineering the input and output -- 8. Nuts and bolts: Machine learning algorithms in Java -- 9. Looking forward.
Bibliography, Etc. Note
Includes bibliographical references(p. 339-349) and index.
Subject Added Entry-Topical Term
Data mining. Java (Computer program language) Data Mining Java (Langage de programmation)
000 02558pamuu2200397 a 4500
001 000045382692
005 20070907124934
008 990823s1999 cau b 001 0 eng
010 ▼a 99046067
020 ▼a 1558605525 (pbk.)
020 ▼a 9781558605527 (pbk.)
024 3 1 ▼a 9781558605527
035 ▼a (OCoLC)ocm42420775
035 ▼a (OCoLC)42420775
035 ▼a (KERIS)BIB000007504772
040 ▼a DLC ▼c DLC ▼d OCL ▼d MUQ ▼d OCoLC ▼d 241026 ▼d 211048 ▼d 211009
042 ▼a pcc
050 0 0 ▼a QA76.9.D343 ▼b W58 2000
082 0 0 ▼a 006.3 ▼2 21
082 0 4 ▼a 006.312 ▼a 005.74 ▼2 22
090 ▼a 006.312 ▼b W829d
100 1 ▼a Witten, I. H. ▼q (Ian H.)
245 1 0 ▼a Data mining : ▼b practical machine learning tools and techniques with Java implementations / ▼c Ian H. Witten, Eibe Frank.
260 ▼a San Francisco, Calif. : ▼b Morgan Kaufmann, ▼c 2000.
300 ▼a xxv, 371 p. ; ▼c 24 cm.
504 ▼a Includes bibliographical references(p. 339-349) and index.
505 0 0 ▼g 1. ▼t What's it all about? -- ▼g 2. ▼t Input: Concepts, instances, attributes -- ▼g 3. ▼t Output: Knowledge representation -- ▼g 4. ▼t Algorithms: The basic methods -- ▼g 5. ▼t Credibility: Evaluating what's been learned -- ▼g 6. ▼t Implementations: Real machine learning schemes -- ▼g 7. ▼t Moving on: Engineering the input and output -- ▼g 8. ▼t Nuts and bolts: Machine learning algorithms in Java -- ▼g 9. ▼t Looking forward.
520 1 ▼a "This book offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you’ll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining - including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you’re involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource."--BOOK JACKET.
650 0 ▼a Data mining.
650 0 ▼a Java (Computer program language)
650 6 ▼a Data Mining
650 6 ▼a Java (Langage de programmation)
700 1 ▼a Frank, Eibe.

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.312 W829d Accession No. 121153619 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

1. What's It All About?
2. Input: Concepts, Instances, Attributes
3. Output: Knowledge Representation
4. Algorithms: The Basic Methods
5. Credibility: Evaluating What's Been Learned
6. Implementations: Real Machine Learning Schemes
7. Moving On: Engineering The Input And Output
8. Nuts And Bolts: Machine Learning Algorithms In Java
9. Looking Forward


Information Provided By: : Aladin

New Arrivals Books in Related Fields

Cartwright, Hugh M. (2021)
한국소프트웨어기술인협회. 빅데이터전략연구소 (2021)