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Feature Extraction, Construction and Selection: A Data Mining Perspective - Huan Liu

PRIX: GRATUIT
FORMAT: PDF EPUB MOBI
DATE DE SORTIE: 01/01/2001
TAILLE DU FICHIER: 9,58
ISBN: 0-7923-8196-3
LANGUE: FRANÇAIS
AUTEUR: Huan Liu

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... and data mining to machine learning. Data pre-processing is an ... Feature Extraction, Construction and Selection: A Data ... ... ... 39 Feature Selection: A Data Perspective Jundong Li, Arizona State University Kewei Cheng, Arizona State University Suhang Wang, Arizona State University Fred Morstatter, Arizona State University Robert P. Trevino, Arizona State University Jiliang Tang, Michigan State University Huan Liu, Arizona State University Feature selection, as a data preprocessing strategy, has been proven to be ... Feature extraction, construction and selection are a set of ... Feature Extraction, Construction and Selection: A Data ... ... ... Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem. Feature Extraction, Construction and Selection: A Data Mining Perspective A Data Mining Perspective. Author: Huan Liu,Hiroshi Motoda; Publisher: Springer Science & Business Media ISBN: 1461557259 Category: Computers Page: 410 View: 8056 DOWNLOAD NOW » There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Feature Extraction, Construction and Selection: A Data Mining Perspective (The Springer International Series in Engineering and Computer Science) and a great selection of related books, art and collectibles available now at AbeBooks.com. Feature Extraction, Construction and Selection by Huan Liu, 9780792381969, available at Book Depository with free delivery worldwide. Feature selection, as a data preprocessing strategy, has been proven to be effective and efficient in preparing data (especially high-dimensional data) for various data mining and machine learning problems. The objectives of feature selection include: building simpler and more comprehensible models, improving data mining performance, and preparing clean, understandable data. The recent ... There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of ... This paper deals with the preprocessing of protein sequences for supervised classification. Motif extraction is one way to address that task. It has been largely used to encode biological sequences into feature vectors to enable using well-known machine-learning classifiers which require this format. However, designing a suitable feature space, for a set of proteins, is not a trivial task. For ... Various data mining methods are applied to the data. Feature or variable selection is conducted to select the most discriminative and least redundant features using an information theory based ... Data Preparation Feature Engineering feature construction ratios eg crimes per from ISE 5103 at The University of Oklahoma...