Data Mining Algorithms for Disaster Data Analysis

Language: English

Published by LAP LAMBERT Academic Publishing Mär 2015, 2015

3659489042 / 9783659489044

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This item is printed on demand - Print on Demand Titel. Neuware -Nowadays, data analysis becomes more important and essential to get accurate knowledge and making good decisions. Data mining research helps to carry out indepth data analysis for different kinds of data, from which, we can infer the hidden knowledge. 'Data Mining Algorithms for Disaster Data Analysis' performed a detailed analysis on disaster data set using classification algorithms. The classification algorithms used in this analysis are IBK, KStar, LWL, J48, Random Forest, Random Tree, Naïve Bayes, Tree Decision Stump, Single Rule Induction, CHAID, QUEST, Exhaustive CHAID and CRT. This comparative analysis is implemented in three different data mining tools, WEKA, Rapidminer and SPSS. This book studied the data mining basics and also described how to perform classification tasks using these tools. This information will be useful for the students, researchers and professionals to pursue their work in the area of data mining.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch.

Seller Inventory # 9783659489044

Title
Data Mining Algorithms for Disaster Data Analysis
Author
S. Vijayarani Mohan
Publisher
LAP LAMBERT Academic Publishing Mär 2015
Publication year
2015
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659489042
ISBN 13
9783659489044
Item weight
209 grams
Dimensions
220x150x9 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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