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· 분류 : 외국도서 > 컴퓨터 > 데이터베이스 관리 > 데이터 마이닝
· ISBN : 9781138744387
· 쪽수 : 400쪽
· 출판일 : 2018-04-04
목차
1. Preliminaries and Overview
Guozhu Dong and Huan Liu
Preliminaries
Overview of the Chapters
Beyond this Book
2 Feature Engineering for Text Data
Chase Geigle, Qiaozhu Mei, and ChengXiang Zhai
Overview of Text Representation
Text as Strings
Sequence of Words Representation
Bag of Words Representation
Structural Representation of Text
Latent Semantic Representation
Explicit Semantic Representation
Embeddings for Text Representation
Context-Sensitive Text Representation
3 Feature Extraction and Learning for Visual Data
Parag S. Chandakkar, Ragav Venkatesan, and Baoxin Li
Classical Visual Feature Representations
Latent-feature Extraction
Deep Image Features
4 Feature-based time-series analysis
Ben D. Fulcher
Feature-based representations of time series
Global features
Subsequence features
Combining time-series representations
Feature-based forecasting
5 Feature Engineering for Data Streams
Yao Ma, Jiliang Tang, and Charu Aggarwal
Streaming Settings
Linear Methods for Streaming Feature Construction
Non-linear Methods for Streaming Feature Construction
Feature Selection for Data Streams with Streaming Feature
Feature Selection for Data Streams with Streaming Instances
Discussions and Challenges
6 Feature Generation and Feature Engineering for Sequences
Guozhu Dong, Lei Duan, Jyrki Nummenmaa, and Peng Zhang
Basics on Sequence Data and Sequence Patterns
Approaches to Using Patterns in Sequence Features
Traditional Pattern-Based Sequence Features
Mined Sequence Patterns for Use in Sequence Features
Sequence Features Not De_ned by Patterns
Sequence Databases
7 Feature Generation for Graphs and Networks
Yuan Yao, Hanghang Tong, Feng Xu, and Jian Lu
Feature Types
Feature Generation .
Feature Usages
Future Directions
8 Feature Selection and Evaluation
Yun Li and Tao Li
Feature Selection Frameworks
Advanced Topics for Feature Selection
Future Work and Conclusion
9 Automating Feature Engineering in Supervised Learning
Udayan Khurana
A Few Simple Approaches
Hierarchical Exploration of Feature Transformations
Learning Optimal Traversal Policy
Finding E_ective Features without Model Training
Miscellenious
10 Pattern based Feature Generation
Yunzhe Jia, James Bailey, Ramamohanarao Kotagiri, and Christopher
Leckie
Preliminaries
Framework of pattern based feature generation
Pattern mining algorithms
Pattern selection approaches .
Pattern based feature generation
Pattern based feature generation for classi_cation
Pattern based feature generation for clustering
11 Deep Learning for Feature Representation
Suhang Wang and Huan Liu
Restricted Boltzmann Machine
AutoEncoder
Convolutional Neural Networks
Word Embedding and Recurrent Neural Networks .
Generative Adversarial Networks and Variational Autoencoder
Discussion and Further Readings
12 Feature Engineering for Social Bot Detection
Onur Varol, Clayton A. Davis, Filippo Menczer, and Alessandro Flammini
Social bot detection .
Online bot detection framework
13 Feature Generation and Engineering for Software Analytics
Xin Xia and David Lo
Features for Defect Prediction
Features for Crash Release Prediction for Apps
Features from Mining Monthly Reports to Predict Developer Turnover
14 Feature Engineering for Twitter-based Applications
