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Viac informácií o knihe Data Mining Algorithms for Disaster Data Analysis

• Parametre knihy
• Anotácia kniha
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Anotácia knihy

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, Naďve 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.

Parametre knihy

• Celý názov: Data Mining Algorithms for Disaster Data Analysis
• Autor: S. Vijayarani Mohan, Dhayanand Selvaraj
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 128
• EAN: 9783659489044
• ID: 09263867
• Nakladateľ: LAP Lambert Academic Publishing
• Hmotnosť: 207 g
• Rozmery: 220 × 150 × 8 mm
• Dátum vydania: 28. March 2015

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