Product Description
Category (sub): Computer (computer literature)
Isbn: 978-979 - 29-3118 - 1
Author: Dawn astuti hermawati
Page: 19x23 cm viii + 204 pages
Edits printed: I, 1st published
Year rising: 2013
Synopsis:
This book specifically adds to the data mining in several parts, Chapter 1 of introduction , Providing introduction and understanding of the purpose of the mining data, Application of mining data, What 's a mining data, And its connection to other database technologies like warehouse data., And some techniques in mining data and applications.
Chapter 2 data, This is a list of data types used in the data mining and processing process to match the specific data mining technique. This chapter also diskusses the principal component analysis algorithm (pca) used to reduce data dimensions. Complete examination of pca theory exists in appendix b.
Chapter 3 of classification, diskusses the basic concept of classification, decision tree. And how to evaluate the classification model.
Chapter 4 association analysis, Diskuss the basic concept of association analysis, The principles of priori and how to evaluate the model of association.
Chapter 5 of cluster analysis, Emebahas on the basic concept of clurter analysis, Some clustering algorithms and how to use clustering algorithms.
Chapter 6 anomaly detection, Diskuss the understanding and application of anomaly detection analysis, Also, methods for detecting anomalies include using graphical approaches and statistical approaches based on distance size and clustering proximity. The book is also equipped with examples of problems and training problems related to each chapter being diskussed.
Product Specifications
Language | Bahasa Indonesia |
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