Feature Engineering for Machine Learning and Data Analytics

Feature Engineering for Machine Learning and Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)9781138744387

Feature Engineering for Machine Learning and Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

ISBN-10 书号: 1138744387
ISBN-13 书号: 9781138744387
Edition 版本: 1
Release Finelybook 出版日期: 2018-04-04
Pages 页数: 418
Chapter 1 Preliminaries and Overview Guozhu Dong and Huan
Liu
Part I Feature Engineering for Various Data Types
Chapter 2 Feature Engineering for Text Data Chase Geigle,
Qiaozhu Mei, and ChengXiang Zhai
Chapter 3 Feature Extraction and Learning for Visual Data Parag
S. Chandakkar, Ragav Venkatesan, and Baoxin Li
Chapter 4 Feature-Based Time-Series Analysis Ben D. Fulcher
Chapter 5 Feature Engineering for Data Streams Yao Ma, Jiliang
Tang, and Charu Aggarwal
Chapter 6 Feature Generation and Feature Engineering for
Sequences Guozhu Dong, Lei Duan, Jyrki Nummenmaa, and
Peng Zhang
Chapter 7 Feature Generation for Graphs and NetworksYuan
Yao, Hanghang Tong, Feng Xu, and Jian Lu
Part lI General Feature Engineering Techniques
Chapter 8 Feature Selection and Evaluation Yun Li and Tao Li
Chapter 9 Automating Feature Engineering in Supervised
Learning Udayan Khurana
Chapter 10 Pattern-Based Feature Generation Yunzhe Jia, James
Bailey, Ramamohanarao Kotagiri, and Christopher Leckie
Chapter 11 Deep Learning for Feature Representation Suhang
Wang and Huan Liu
Part ll Feature Engineering in Special Applications
Chapter 12 Feature Engineering for Social Bot Detection Onur
Varol, Clayton A. Davis, Filippo Menczer, and Alessandro
Flammini
Chapter 13 Feature Generation and Engineering for Software
Analytics Xin Xia and David Lo
Chapter 14 Feature Engineering for Twitter-Based Applications
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika
Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein
Yazdavar, Krishnaprasad Thirunarayan
Index


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