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【数据挖掘】 Data Mining : A Tutorial-Based Primer (2017, 2nd Edition)   [推广有奖]

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cmwei333 发表于 2017-1-7 22:21:01 |AI写论文

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Data Mining: A Tutorial-Based Primer, Second Edition

Richard J. Roiger

cover.jpg

Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem. Fundamental data mining strategies, techniques, and evaluation methods are presented and implemented with the help of two well-known software tools.

Several new topics have been added to the second edition including an introduction to Big Data and data analytics, ROC curves, Pareto lift charts, methods for handling large-sized, streaming and imbalanced data, support vector machines, and extended coverage of textual data mining. The second edition contains tutorials for attribute selection, dealing with imbalanced data, outlier analysis, time series analysis, mining textual data, and more.

The text provides in-depth coverage of RapidMiner Studio and Weka’s Explorer interface. Both software tools are used for stepping students through the tutorials depicting the knowledge discovery process. This allows the reader maximum flexibility for their hands-on data mining experience.

Features

Provides in-depth coverage of basic and advanced topics in data mining and knowledge discovery
Presents the most popular data mining algorithms in an easy to follow format
Includes instructional tutorials on applying the various data mining algorithms
Provides several interesting datasets ready to be mined
Offers in-depth coverage of RapidMiner Studio and Weka’s Explorer interface

PDF (conv) + EPUB + MOBI + AZW3:

本帖隐藏的内容

PDF (conv):
Data Mining_A Tutorial-Based Primer (2nd Edition).pdf (20.59 MB, 需要: 20 个论坛币)

EPUB:
Data Mining_A Tutorial-Based Primer (2nd Edition).epub (23.13 MB, 需要: 20 个论坛币)

MOBI:
Data Mining_A Tutorial-Based Primer (2nd Edition).mobi (27.09 MB, 需要: 20 个论坛币)

AZW3:
Data Mining_A Tutorial-Based Primer (2nd Edition).zip (23.11 MB, 需要: 20 个论坛币) 本附件包括:
  • Data Mining_A Tutorial-Based Primer (2nd Edition).azw3


PDF (conv) + EPUB + MOBI + AZW3 四种格式压缩包:
DM.zip (85.95 MB, 需要: 80 个论坛币) 本附件包括:
  • Data Mining_A Tutorial-Based Primer (2nd Edition).epub
  • Data Mining_A Tutorial-Based Primer (2nd Edition).mobi
  • Data Mining_A Tutorial-Based Primer (2nd Edition).pdf
  • Data Mining_A Tutorial-Based Primer (2nd Edition).azw3


附带数据:
datasetsWeka.zip (338.89 KB, 需要: 1 个论坛币) 本附件包括:
  • CardiologyMixed.arff
  • CardiologyNumerical.arff
  • contact-lenses.arff
  • CreditCardPromotion.arff
  • CreditScreening.arff
  • customer-churn-data-KN.arff
  • customer-churn-data-UNK.arff
  • diabetes.arff
  • grb4u.arff
  • RegressionExample.arff
  • SensorData.arff
  • Sonar.arff
  • SonarMissingClass.arff
  • Spam.arff
  • supermarket.arff
  • SVMExample.arff
  • TimeSeriesWeka.zip
  • XOR.arff
  • XORC.arff

datasetsRapidMiner.zip (858.04 KB, 需要: 1 个论坛币) 本附件包括:
  • CardiologyMixed.xlsx
  • CardiologyNumerical.xlsx
  • CreditCardPromoAssoc.xlsx
  • CreditCardPromotion.xlsx
  • creditscreening.xlsx
  • customer-churn-data.xlsx
  • CustomerReivews.zip
  • Diabetes.xlsx
  • Grb4u.xlsx
  • SensorData.xlsx
  • Sonar.xlsx
  • Spam.xls
  • SVMExample.xlsx
  • TimeSeriesRapidMiner.zip
  • XORFunction.xlsx


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关键词:Data Mining Tutorial Edition editio dition understand building problems provides solution

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沙发
ekscheng(未真实交易用户) 发表于 2017-1-7 22:33:42

藤椅
终结天狼(真实交易用户) 在职认证  发表于 2017-1-7 22:34:59
数据挖掘】 Data Mining : A Tutorial-Based Primer (2017, 2nd Edition) [修改]
高级模式

板凳
wsq1996hn(真实交易用户) 发表于 2017-1-7 22:53:25
many thanks

报纸
smartlife(未真实交易用户) 在职认证  发表于 2017-1-7 22:55:14

地板
michaelkuo8818(真实交易用户) 发表于 2017-1-7 23:06:55
good book

7
sqy(真实交易用户) 发表于 2017-1-7 23:07:56
ding!!!!!!!!!!1

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franky_sas(真实交易用户) 发表于 2017-1-7 23:07:57

9
shanxianmin2011(真实交易用户) 发表于 2017-1-7 23:09:04
谢谢分享

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xiaoshiyue(真实交易用户) 发表于 2017-1-7 23:11:58

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