Mining Social-Driven Data

Mikołaj Morzy

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ISBN/ISSN:

978-83-7143-814-1

DOI:

Wydawnictwo:

Wydawnictwo Politechniki Poznańskiej

Rok wydania:

2009

Liczba stron:

245

XML:ISBN/ISSN:

ONIX MARC21

Bibliografia:

Morzy, Mikołaj. Mining Social-Driven Data. Red. . Poznań: Wydawnictwo Politechniki Poznańskiej, 2009, 245 s. ISBN 978-83-7143-814-1

Bibliografia refWorks:

RT Book, Whole

SR Electronic(1)

A1 Morzy, M.

T1 Mining Social-Driven Data

PB Wydawnictwo Politechniki Poznańskiej

PP Poznań

YR 2009

SN 978-83-7143-814-1

Bibliografia BibTex:

@Book{ 100278, author = "Morzy, Mikołaj", editor = "", title = "Mining Social-Driven Data", publisher = "Wydawnictwo Politechniki Poznańskiej", year = "2009", address = "Poznań", isbn = "978-83-7143-814-1" }

Bibliografia endNote:

TY - BOOK

AU - Morzy, Mikołaj

ED -

TI - Mining Social-Driven Data

PB - Wydawnictwo Politechniki Poznańskiej

CY - Poznań

PY - 2009

SN - 978-83-7143-814-1

ER -

Netografia (standard APA):

Morzy, Mikołaj. Mining Social-Driven Data [baza danych online] Poznań: Wydawnictwo Politechniki Poznańskiej, 2009 [dostęp: 30 07 2024]. Dostęp w Ibuk Libra: https://libra.ibuk.pl/reader/mining-social-driven-data-mikolaj-morzy-100278.

internet, algorytmy, aplikacje, sieci społecznościowe

Abstract

The Web 2.0 revolution spreading over the Internet has dramatically changed the way data is gathered and processed by web applications. The static, authoritarian model of the Web has been abandoned in favor of dynamic, commu...

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ISBN/ISSN:

978-83-7143-814-1

DOI:

Wydawnictwo:

Wydawnictwo Politechniki Poznańskiej

Rok wydania:

2009

Liczba stron:

245

XML:ISBN/ISSN:

ONIX MARC21

Abstract8
Foreword10
Preface12
I. The World of the New16
1. Web 2.0 Revolution18
1.1 What is Web 2.0?18
1.2 New forms of participation — push or pull?22
1.3 New forms of expression — blogs23
1.4 New forms of conversation — Internet forums24
1.5 New forms of trade — online auctions26
1.6 New forms of data — mobile objects29
1.7 Introduction to data mining30
1.8 Main thesis of the dissertation33
2. Social-Driven Data36
2.1 Introduction36
2.2 Data from blogs40
2.3 Data from Internet forums45
2.4 Data from online auctions48
2.5 Social implications of the Web 2.0 revolution53
II. Mining of the New58
3. Blogosphere60
3.1 Introduction60
3.2 Related Work62
3.3 Basic Definitions65
3.4 Trendoo Algorithm68
3.5 Experiments75
3.6 Conclusions80
4. Internet Forums82
4.1 Crawling Internet forums82
4.2 Statistical analysis84
4.2.1 Topic statistics84
4.2.2 Post statistics87
4.2.3 User statistics88
4.3 Index analysis92
4.4 Network analysis100
4.4.1 Model of Internet forum sociogram100
4.4.2 Topic analysis103
4.4.3 User analysis105
4.4.4 Role analysis107
4.5 Conclusions108
5. Online Auctions110
5.1 Introduction110
5.2 Related work114
5.3 Credibility116
5.3.1 Basic Definitions117
5.3.2 CredMine Algorithm118
5.3.3 Experiments119
5.3.4 Conclusions122
5.4 Density124
5.4.1 Basic Definitions125
5.4.2 Experiments127
5.4.3 Conclusions135
5.5 Implicit feedback136
5.5.1 Existence of Implicit Feedback136
5.5.2 Simulation139
5.5.3 Experiments143
5.6 Positive and Negative Reputation145
5.5.4 Conclusions145
5.6.1 Basic Definitions146
5.6.2 R+ and R- Algorithms147
5.6.3 Experiments149
5.6.4 Conclusions154
5.7 Summary of online auction mining155
III. Miscellaneous156
6. Moving Objects158
6.1 Introduction159
6.2 Related Work160
6.3 Basic Definitions161
6.4 Algorithms164
6.4.1 AprioriTraj164
6.4.2 Traj-PrefixSpan168
6.5 Experiments170
6.5.1 AprioriTraj170
6.5.2 Traj-PrefixSpan172
6.6 Conclusions177
7. Negative Patterns180
7.1 Introduction181
7.2 Related Work182
7.3 Basic Definitions183
7.3.1 Frequent Itemsets and Association Rules183
7.3.2 Dissociation Itemsets and Dissociation Rules185
7.4 Algorithms186
7.5 Experiments190
7.6 Conclusions193
8. Summary196
IV. Appendixes202
A. Trendoo204
A.1 Introduction204
A.2 Architecture205
A.3 User Guide208
B. Foruminer210
B.1 Introduction210
B.2 Architecture211
B.3 User Guide212
C. Presto216
C.1 Presto Simulator216
C.2 Presto Web218
D. Moppy222
D.1 Introduction222
D.2 General Idea224
D.3 Architecture, Features, and User Interface225
Bibliography228
Afterword242
Streszczenie244

•theexperimentalevaluationoftheproposalconsistingincrawlingse-

lectedInternetforums,computingrelevantindexesanddiscovering

socialrolesamongInternetforumcontributors,

•theconceptofthecredibilityofparticipantsofonlineauctionsandthe

algorithmforminingthecredibilityofparticipants,

•theconceptofthedensityreputationmeasureforsellersinonline

auctions,

•theconceptoftheS-graphforminingreputationandautomaticrec-

ommendationforparticipantsofonlineauctions,

•theconceptofthenegativereputationofparticipantsofonlineauc-

tions,

•theconceptoftheimplicitfeedbackinfeedback-basedreputationsys-

tems,

•thealgorithmforminingpositiveandnegativereputationofpartici-

pantsofonlineauctions,

•thealgorithmtodiscovertheimplicitfeedbackinonlineauctiondata,

•theexperimentalevaluationoftheproposedalgorithmsformining

reputationofparticipantsofonlineauctions,

•theconceptofmovementrulesandthemodelforpositionprediction

basedonmovementrules,

•theAprioriTrajandTraj-PreﬁxSpanalgorithmstodiscovermovement

rulesfromalargebodyofmovingobjectsdata,

•theexperimentalevaluationoftheproposedpredictionmodel,

•theconceptofdissociationrulesandthedesignoftheDI-Apriorifam-

ilyofalgorithmstodiscoverdissociationrulesfromtransactionaldata,

•theexperimentalevaluationofthedissociationrulesmodel.

Thelastfouryearsofmylifehavebeenmarkedwitheverincreasing

satisfactionaboutmywork,invaluableinspirationfrommycolleaguesand

students,andremarkabledevelopmentsinmypersonallife.Thisdissertation

servesasthecompletionofthisphaseand,hopefully,asthecommencement

ofnewdaringprojects,newresearchideas,andnewacquaintances.The

ﬁnalizationofthedissertationwouldnotbepossiblewithouthelpandas-

sistancefrommanypeoplearoundme.Asforcontributingstudents,Ihave

addedtheAfterwordwithacknowledgmentsanddetaileddescriptionoftheir

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