Web mining and social networking: techniques and applications
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY [u.a.]
Springer
2011
|
| Schriftenreihe: | Web Information Systems Engineering and Internet Technologies Book Series
6 |
| Schlagwörter: | |
| Links: | http://deposit.dnb.de/cgi-bin/dokserv?id=3523284&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020886927&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | XVII, 210 S. Ill., graph. Darst. |
| ISBN: | 9781441977342 |
Internformat
MARC
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| 264 | 1 | |a New York, NY [u.a.] |b Springer |c 2011 | |
| 300 | |a XVII, 210 S. |b Ill., graph. Darst. | ||
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Datensatz im Suchindex
| _version_ | 1820960072684011520 |
|---|---|
| adam_text |
Contents
Part I Foundation
1
Introduction
. 3
1.1
Background
. 3
1.2
Data Mining and Web Mining
. 5
1.3
Web Community and Social Network Analysis
. 7
1.3.1
Characteristics of Web Data
. 7
1.3.2
Web Community
. 8
1.3.3
Social Networking
. 9
1.4
Summary of Chapters
. 10
1.5
Audience of This Book
. 11
2
Theoretical Backgrounds
. 13
2.1
Web Data Model
. 13
2.2
Textual, Linkage and Usage Expressions
. 14
2.3
Similarity Functions
. 16
2.3.1
Correlation-based Similarity
. 17
2.3.2
Cosine-Based Similarity
. 17
2.4
Eigenvector, Principal Eigenvector
. 17
2.5
Singular Value Decomposition
(SVD)
of Matrix
. 19
2.6
Tensor Expression and Decomposition
. 20
2.7
Information Retrieval Performance Evaluation Metrics
. 22
2.7.1
Performance measures
. 22
2.7.2
Web Recommendation Evaluation Metrics
. 24
2.8
Basic Concepts in Social Networks
. 25
2.8.1
Basic Metrics of Social Network
. 25
2.8.2
Social Network over the Web
. 26
3
Algorithms and Techniques
. 29
3.1
Association Rule Mining
. 29
3.1.1
Association Rule Mining Problem
. 29
XIV Contents
3.1.2
Basic
Algorithms for Association Rule Mining
. 31
3.1.3
Sequential Pattern Mining
. 36
3.2
Supervised Learning
. 46
3.2.1
Nearest Neighbor Classifiers
. 46
3.2.2
Decision Tree
. 46
3.2.3
Bayesian Classifiers
. 49
3.2.4
Neural Networks Classifier
. 50
3.3
Unsupervised Learning
. 52
3.3.1
The
ł-Means
Algorithm
. 52
3.3.2
Hierarchical Clustering
. 53
3.3.3
Density based Clustering
. 55
3.4
Semi-supervised Learning
. 56
3.4.1
Self-Training
. 56
3.4.2
Co-Training
. 57
3.4.3
Generative Models
. 58
3.4.4
Graph based Methods
. 59
3.5
Markov Models
. 59
3.5.1
Regular Markov Models
. 60
3.5.2
Hidden Markov Models
. 61
3.6
K-Nearest-Neighboring
. 62
3.7
Content-based Recommendation
. 62
3.8
Collaborative Filtering Recommendation
. 63
3.8.1
Memory-based collaborative recommendation
. 63
3.8.2
Model-based Recommendation
. 64
3.9
Social Network Analysis
. 64
3.9.1
Detecting Community Structure in Networks
. 64
3.9.2
The Evolution of Social Networks
. 67
Part II Web Mining: Techniques and Applications
4
Web Content Mining
. 71
4.1
Vector Space Model
. 71
4.2
Web Search
. 73
4.2.1
Activities on Web archiving
. 73
4.2.2
Web Crawling
. 74
4.2.3
Personalized Web Search
. 76
4.3
Feature Enrichment of Short Texts
. 77
4.4
Latent Semantic Indexing
. 79
4.5
Automatic Topic Extraction from Web Documents
. 80
4.5.1
Topic Models
. 80
4.5.2
Topic Models for Web Documents
. 83
4.5.3
Inference and Parameter Estimation
. 84
4.6
Opinion Search and Opinion Spam
. 84
4.6.1
Opinion Search
. 85
Contents
XV
4.6.2
Opinion Spam
. 86
Web
Linkage Mining
. 89
5.1
Web Search and Hyperlink
. 89
5.2
Co-citation and Bibliographic Coupling
. 90
5.2.1
Co-citation
. 90
5.2.2
Bibliographic Coupling
. 90
5.3
PageRank and HITS Algorithms
. 91
5.3.1
PageRank
. 91
5.3.2
HITS
. 93
5.4
Web Community Discovery
. 95
5.4.1
Bipartite Cores as Communities
. 96
5.4.2
Network Flow/Cut-based Notions of Communities
. 97
5.4.3
Web Community Chart
. 97
5.5
Web Graph Measurement and Modeling
. 100
5.5.1
Graph Terminologies
. 101
5.5.2
Power-law Distribution
. 101
5.5.3
Power-law Connectivity of the Web Graph
. 101
5.5.4
Bow-tie Structure of the Web Graph
. 102
5.6
Using Link Information for Web Page Classification
. 102
5.6.1
Using Web Structure for Classifying and Describing Web
Pages
. 103
5.6.2
Using Implicit and Explicit Links for Web Page Classification
105
Web Usage Mining
. 109
6.1
Modeling Web User Interests using Clustering
. 109
6.1.1
Measuring Similarity of Interest for Clustering Web Users
. 109
6.1.2
Clustering Web Users using Latent Semantic Indexing
. 115
6.2
Web Usage Mining using Probabilistic Latent Semantic Analysis
. 118
6.2.1
Probabilistic Latent Semantic Analysis Model
. 118
6.2.2
Constructing User Access Pattern and Identifying Latent
Factor with PLSA
. 120
6.3
Finding User Access Pattern via Latent Dirichlet Allocation Model
. 124
6.3.1
Latent Dirichlet Allocation Model
. 124
6.3.2
Modeling User Navigational Task via LDA
. 128
6.4
Co-Clustering Analysis of weblogs using Bipartite Spectral
Projection Approach
. 130
6.4.1
Problem Formulation
. 131
6.4.2
An Example of Usage Bipartite Graph
. 132
6.4.3
Clustering User Sessions and Web Pages
. 132
6.5
Web Usage Mining Applications
. 133
6.5.1
Mining Web Logs to Improve Website Organization
. 134
6.5.2
Clustering User Queries from Web logs for Related Query
. 137
6.5.3
Using Ontology-Based User Preferences to Improve Web
Search
. 141
XVI Contents
Part III Social Networking and Web Recommendation: Techniques and
Applications
7
Extracting and Analyzing Web Social Networks
. 145
7.1
Extracting Evolution of Web Community from a Series of Web
Archive
. 145
7.1.1
Types of Changes
. 146
7.1.2
Evolution Metrics
. 146
7.1.3
Web Archives and Graphs
. 148
7.1.4
Evolution of Web Community Charts
. 148
7.2
Temporal Analysis on Semantic Graph using Three-Way Tensor
Decomposition
. 153
7.2.1
Background
. 153
7.2.2
Algorithms
. 155
7.2.3
Examples of Formed Community
. 156
7.3
Analysis of Communities and Their Evolutions in Dynamic Networks
157
7.3.1
Motivation
. 158
7.3.2
Problem Formulation
. 159
7.3.3
Algorithm
. 160
7.3.4
Community Discovery Examples
. 161
7.4
Socio-Sense: A System for Analyzing the Societal Behavior from
Web Archive
. 161
7.4.1
System Overview
. 163
7.4.2
Web Structural Analysis
. 163
7.4.3
Web Temporal Analysis
. 165
7.4.4
Consumer Behavior Analysis
. 166
8
Web Mining and Recommendation Systems
. 169
8.1
User-based and Item-based Collaborative Filtering Recommender
Systems
. 159
8.1.1
User-based Collaborative Filtering
. 170
8.1.2
Item-based Collaborative Filtering Algorithm
. 171
8.1.3
Performance Evaluation
. 174
8.2
A Hybrid User-based and Item-based Web Recommendation System
175
8.2.1
Problem Domain
.
I75
8.2.2
Hybrid User and Item-based Approach
. 176
8.2.3
Experimental Observations
. 178
8.3
User Profiling for Web Recommendation Based on PLSA and
LDA Model
.
178
8.3.1
Recommendation Algorithm based on PLSA Model
. 178
8.3.2
Recommendation Algorithm Based on LDA Model
. 181
8.4
Combing
Long-Term
Web Achieves and Logs for Web Query
Recommendation
.
I o^
Contents XVII
8.5
Combinational CF Approach for Personalized Community
Recommendation
. 185
8.5.1
CCF: Combinational Collaborative Filtering
. 186
8.5.2
С
-U
and
С
-D
Baseline Models
. 186
8.5.3
CCF Model
. 187
9
Conclusions
. 189
9.1
Summary
. 189
9.2
Future Directions
. 191
References
. 195 |
| any_adam_object | 1 |
| author | Xu, Guandong Zhang, Yanchun Li, Lin |
| author_GND | (DE-588)142907936 (DE-588)121650057 |
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| bvnumber | BV036972201 |
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| ctrlnum | (OCoLC)845882007 (DE-599)DNB1005645736 |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV036972201 |
| illustrated | Illustrated |
| indexdate | 2025-01-11T13:40:51Z |
| institution | BVB |
| isbn | 9781441977342 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020886927 |
| oclc_num | 845882007 |
| open_access_boolean | |
| owner | DE-29T DE-Aug4 DE-12 |
| owner_facet | DE-29T DE-Aug4 DE-12 |
| physical | XVII, 210 S. Ill., graph. Darst. |
| publishDate | 2011 |
| publishDateSearch | 2011 |
| publishDateSort | 2011 |
| publisher | Springer |
| record_format | marc |
| series | Web Information Systems Engineering and Internet Technologies Book Series |
| series2 | Web Information Systems Engineering and Internet Technologies Book Series |
| spelling | Xu, Guandong Verfasser (DE-588)142907936 aut Web mining and social networking techniques and applications Guandong Xu ; Yanchun Zhang ; Lin Li New York, NY [u.a.] Springer 2011 XVII, 210 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Web Information Systems Engineering and Internet Technologies Book Series 6 Soziales Netzwerk (DE-588)4055762-5 gnd rswk-swf Information Retrieval (DE-588)4072803-1 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf World Wide Web (DE-588)4363898-3 gnd rswk-swf World Wide Web (DE-588)4363898-3 s Data Mining (DE-588)4428654-5 s Information Retrieval (DE-588)4072803-1 s DE-604 Soziales Netzwerk (DE-588)4055762-5 s Zhang, Yanchun Verfasser (DE-588)121650057 aut Li, Lin Verfasser aut Web Information Systems Engineering and Internet Technologies Book Series 6 (DE-604)BV020043643 6 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3523284&prov=M&dok_var=1&dok_ext=htm Inhaltstext Digitalisierung BSB Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020886927&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Xu, Guandong Zhang, Yanchun Li, Lin Web mining and social networking techniques and applications Web Information Systems Engineering and Internet Technologies Book Series Soziales Netzwerk (DE-588)4055762-5 gnd Information Retrieval (DE-588)4072803-1 gnd Data Mining (DE-588)4428654-5 gnd World Wide Web (DE-588)4363898-3 gnd |
| subject_GND | (DE-588)4055762-5 (DE-588)4072803-1 (DE-588)4428654-5 (DE-588)4363898-3 |
| title | Web mining and social networking techniques and applications |
| title_auth | Web mining and social networking techniques and applications |
| title_exact_search | Web mining and social networking techniques and applications |
| title_full | Web mining and social networking techniques and applications Guandong Xu ; Yanchun Zhang ; Lin Li |
| title_fullStr | Web mining and social networking techniques and applications Guandong Xu ; Yanchun Zhang ; Lin Li |
| title_full_unstemmed | Web mining and social networking techniques and applications Guandong Xu ; Yanchun Zhang ; Lin Li |
| title_short | Web mining and social networking |
| title_sort | web mining and social networking techniques and applications |
| title_sub | techniques and applications |
| topic | Soziales Netzwerk (DE-588)4055762-5 gnd Information Retrieval (DE-588)4072803-1 gnd Data Mining (DE-588)4428654-5 gnd World Wide Web (DE-588)4363898-3 gnd |
| topic_facet | Soziales Netzwerk Information Retrieval Data Mining World Wide Web |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=3523284&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020886927&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV020043643 |
| work_keys_str_mv | AT xuguandong webminingandsocialnetworkingtechniquesandapplications AT zhangyanchun webminingandsocialnetworkingtechniquesandapplications AT lilin webminingandsocialnetworkingtechniquesandapplications |