Pang-Ning Tan | Akateeminen Kirjakauppa

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INTRODUCTION TO DATA MINING

Pang-Ning Tan; Michael Steinbach; Vipin Kumar
(2005)
Pehmeäkantinen kirja

147,60 €

INTRODUCTION TO DATA MINING: PEARSON NEW INTERNATIONAL EDITION

Pang-Ning Tan; Michael Steinbach; Vipin Kumar
(2013)
Pehmeäkantinen kirja

87,30 €

INTRODUCTION TO DATA MINING

Pang-Ning Tan; Michael Steinbach; Vipin Kumar
(2005)
Kovakantinen kirja

148,00 €

GRADIANCE ACCESS CARD FOR INTRODUCTION TO DATA MINING

Pang-Ning Tan; Michael Steinbach; Vipin Kumar
(2006)
Digitaalisen aineiston lisenssiavain

33,80 €

INTRODUCTION TO DATA MINING (POD FILE)

Pang-Ning Tan; Michael Steinbach; Anuj Karpatne; Vipin Kumar
(2018)
Ladattava digitaalinen julkaisu

109,00 €

ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PART I - 16TH PACIFIC-ASIA CONFERENCE, PAKDD 2012, KUALA LUMPUR, MALAYSIA, MAY

Pang-Ning Tan; Sanjay Chawla; Chin Kuan Ho; James Bailey
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012)
Pehmeäkantinen kirja

49,60 €

ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PART II - 16TH PACIFIC-ASIA CONFERENCE, PAKDD 2012, KUALA LUMPUR, MALAYSIA, MAY

Pang-Ning Tan; Sanjay Chawla; Chin Kuan Ho; James Bailey
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012)
Pehmeäkantinen kirja

49,60 €

INTRODUCTION TO DATA MINING

Pang-Ning Tan; Michael Steinbach; Vipin Kumar
Pearson Education (US) (2018)
Kovakantinen kirja

126,00 €

INTRODUCTION TO DATA MINING, GLOBAL EDITION

Pang-Ning Tan; Michael Steinbach; Vipin Kumar; Anuj Karpatne
Pearson Education Limited (2019)
Pehmeäkantinen kirja

78,30 €

Introduction to Data Mining

Pang-Ning Tan, Michael Steinbach, Vipin Kumar

147,60 €

Sivumäärä: 769 sivua
Asu: Pehmeäkantinen kirja
Painos: 1. painos
Julkaisuvuosi: 2005, 15.09.2005 (lisätietoa)
Kieli: Englanti

Korvaava tuote: 9781292026152

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics.

Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

Quotes
This book provides a comprehensive coverage of important data mining techniques. Numerous examples are provided to lucidly illustrate the key concepts.

-Sanjay Ranka, University of Florida

In my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, clustering, and pattern mining (association rules).

-Mohammed Zaki, Rensselaer Polytechnic Institute

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