Verfügbarkeit: Privacy preserving data mining | Technische Universität München

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Bibliographische Detailangaben
Beteiligte Personen:	Vaidya, Jaideep (VerfasserIn), Clifton, Christopher W. (VerfasserIn), Zhu, Yu Michael (VerfasserIn)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	New York, NY Springer 2006
Schriftenreihe:	Advances in information security 19
Schlagwörter:	Bases de données - Sécurité - Mesures Exploration de données (Informatique) Protection de l'information (Informatique) Data mining Data protection Database security Datenbank Geheimhaltung Recherche
Links:	http://deposit.dnb.de/cgi-bin/dokserv?id=2739418&prov=M&dok_var=1&dok_ext=htm http://www.gbv.de/dms/ilmenau/toc/492861021vaidy.PDF http://www.loc.gov/catdir/toc/fy0613/2005934034.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015405248&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Beschreibung:	Literaturverz. S. [115] - 120
Umfang:	120 S. graph. Darst.
ISBN:	0387258868 9780387258867

Internformat

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Datensatz im Suchindex

DE-BY-UBR_call_number	470/ST 530 V128
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adam_text	IMAGE 1 PRIVACY PRESERVING DATA MINING BY JAIDEEP VAIDYA RUTGERS UNIVERSITY, NEWURK, NJ CHRIS CLIFTON PURDUE, W. LAFAYETTE, IN, USA MICHAEL ZHU PURDUE, W, LAFAYETTE, IN, USA L SPRI NNEER IMAGE 2 CONTENTS 1 PRIVACY AND DATA MINING 1 2 W H AT IS PRIVACY? 7 2.1 INDIVIDUAL IDENTIFIABILITY 8 2.2 MEASURIIIG THE INTRUSIVENESS OF DISCIOSURE 11 3 SOLUTION APPROACHES / PROBLEMS 17 3.1 DATA PARTITIONING MODELS 18 3.2 PERTURBATION 19 3.3 SECURE MULTI-PARTY COMPUTATION 21 3.3.1 SECURE CIRCUIT EVALUATION 23 3.3.2 SECURE SUM 25 4 PREDICTIVE MODELING FOR CLASSIFICATION 29 4.1 DECISION TREE CLASSIFICATION 31 4.2 A PERTURBATION-BASED SOLUTION FOR ID3 34 4.3 A CRYPTOGRAPHIC SOLUTION FOR ID3 38 4.4 ID3 ON VERTICALLY PARTITIONED DATA 40 4.5 BAYESIAN METHODS 45 4.5.1 HORIZONTALLY PARTITIONED DATA 47 4.5.2 VERTICALLY PARTITIONED DATA 48 4.5.3 LEARNING BAYESIAN NETWORK STRUCTURE 50 4.6 SUMMARY 51 5 PREDICTIVE MODELING FOR REGRESSION 53 5.1 INTRODUCTION AND CASE STUDY 53 5.1.1 CASE STUDY 55 5.1.2 WHAT ARE THE PROBLEMS? 55 5.1.3 WEAK SECURE MODEL 58 5.2 VERTICALLY PARTITIONED DATA 60 5.2.1 SECURE ESTIIIIATION OF REGRESSION COEFFICICNTS 60 IMAGE 3 CONTENTS VIII 5.2.2 DIAGNOSTICS AND MODEL DETERMINATION 62 5.2.3 SECURITY ANALYSIS 63 5.2.4 AN ALTERNATIVE: SECURE POWELL S ALGORITHM 65 5.3 HORIZONTALLY PARTITIONED DATA 68 5.4 SUMMARY AND FUTURE RESEARCH 69 6 FINDING PATTERNS AND RULES (ASSOCIATION RULES) 71 6.1 RANDOMLXATION-BASED APPROACHES 72 6.1.1 RANDOMIZATION OPERATOR 73 6.1.2 SUPPORT ESTIMATION AND ALGORITHM 74 6.1.3 LIMITING PRIVAEY BREACH 75 6.1.4 OTHER WORK 7G 6.2 CRYPTOGRAPHY-HASED APPROACHES 79 6.2.1 HORIZONTALLY PARTITIONED DATA 79 6.2.2 VERTICALLY PARTITIONED DATA 80 6.3 INFERENCE FROM RESULTS 82 7 DESCRIPTIVE MODELING (CIUSTERING, OUTLIER DETECTION) 85 7.1 CIUSTERING 86 7.1.1 DATA PCRTURBATION FOR CIUSTERING 86 7.2 CRYPTOGRAPHY-BASED APPROACHES 91 7.2.1 EM-CLUSTERING FOR HORIZONTALLY PARTITIONED DATA 91 7.2.2 K-MEANS CIUSTERING FOR VERTICALLY PARTITIONED DATA . . .. 95 7.3 OUTLIER DETECTION 99 7.3.1 DISTANCE-BASED OUTLIERS 101 7.3.2 BASIC APPROACH 102 7.3.3 HORIZONTALLY PARTITIONED DATA 102 7.3.4 VERTICALLY PARTITIONED DATA 105 7.3.5 MODIFIED SECURE COMPARISON PROTOCOL 106 7.3.6 SECURITY ANALYSIS 107 7.3.7 COMPUTATION AND COMMUNICATION ANALYSIS 110 7.3.8 SNMMARY 111 8 FUTURE RESEARCH - PROBLEMS REMAINING 113 REFERENCES 115 INDEX 121
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author	Vaidya, Jaideep Clifton, Christopher W. Zhu, Yu Michael
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indexdate	2024-12-20T12:49:47Z
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isbn	0387258868 9780387258867
language	English
lccn	005934034
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series	Advances in information security
series2	Advances in information security
spellingShingle	Vaidya, Jaideep Clifton, Christopher W. Zhu, Yu Michael Privacy preserving data mining Advances in information security Bases de données - Sécurité - Mesures Exploration de données (Informatique) Protection de l'information (Informatique) Data mining Data protection Database security Datenbank (DE-588)4011119-2 gnd Geheimhaltung (DE-588)4140232-7 gnd Recherche (DE-588)4121560-6 gnd
subject_GND	(DE-588)4011119-2 (DE-588)4140232-7 (DE-588)4121560-6
title	Privacy preserving data mining
title_auth	Privacy preserving data mining
title_exact_search	Privacy preserving data mining
title_full	Privacy preserving data mining by Jaideep Vaidya ; Chris Clifton ; Michael Zhu
title_fullStr	Privacy preserving data mining by Jaideep Vaidya ; Chris Clifton ; Michael Zhu
title_full_unstemmed	Privacy preserving data mining by Jaideep Vaidya ; Chris Clifton ; Michael Zhu
title_short	Privacy preserving data mining
title_sort	privacy preserving data mining
topic	Bases de données - Sécurité - Mesures Exploration de données (Informatique) Protection de l'information (Informatique) Data mining Data protection Database security Datenbank (DE-588)4011119-2 gnd Geheimhaltung (DE-588)4140232-7 gnd Recherche (DE-588)4121560-6 gnd
topic_facet	Bases de données - Sécurité - Mesures Exploration de données (Informatique) Protection de l'information (Informatique) Data mining Data protection Database security Datenbank Geheimhaltung Recherche
url	http://deposit.dnb.de/cgi-bin/dokserv?id=2739418&prov=M&dok_var=1&dok_ext=htm http://www.gbv.de/dms/ilmenau/toc/492861021vaidy.PDF http://www.loc.gov/catdir/toc/fy0613/2005934034.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015405248&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV014168308
work_keys_str_mv	AT vaidyajaideep privacypreservingdatamining AT cliftonchristopherw privacypreservingdatamining AT zhuyumichael privacypreservingdatamining

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