LEADER 03425nam 2200637 450 001 996465750803316 005 20220817174311.0 010 $a3-540-78478-0 024 7 $a10.1007/978-3-540-78478-4 035 $a(CKB)1000000000490885 035 $a(SSID)ssj0000319557 035 $a(PQKBManifestationID)11258249 035 $a(PQKBTitleCode)TC0000319557 035 $a(PQKBWorkID)10338864 035 $a(PQKB)11767429 035 $a(DE-He213)978-3-540-78478-4 035 $a(MiAaPQ)EBC4975457 035 $a(MiAaPQ)EBC5577939 035 $a(Au-PeEL)EBL4975457 035 $a(CaONFJC)MIL134314 035 $a(OCoLC)1024266033 035 $a(Au-PeEL)EBL5577939 035 $a(OCoLC)261324909 035 $a(MiAaPQ)EBC6806099 035 $a(Au-PeEL)EBL6806099 035 $a(PPN)123745969 035 $a(EXLCZ)991000000000490885 100 $a20220817d2008 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aPrivacy, security, and trust in KDD $efirst ACM SIGKDD international workshop, PinKDD 2007, San Jose, CA, USA, August 12, 2007 : revised selected papers /$fedited by Francesco Bonchi [and four others] 205 $a1st ed. 2008. 210 1$aBerlin, Germany :$cSpringer,$d[2008] 210 4$dİ2008 215 $a1 online resource (IX, 173 p.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v4890 300 $aIncludes index. 311 $a3-540-78477-2 327 $aInvited Paper -- An Ad Omnia Approach to Defining and Achieving Private Data Analysis -- Contributed Papers -- Phoenix: Privacy Preserving Biclustering on Horizontally Partitioned Data -- Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework -- Probabilistic Anonymity -- Website Privacy Preservation for Query Log Publishing -- Privacy-Preserving Data Mining through Knowledge Model Sharing -- Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers -- Towards Privacy-Preserving Model Selection -- Preserving the Privacy of Sensitive Relationships in Graph Data. 330 $aThis book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Privacy, Security, and Trust in KDD, PinKDD 2007, held in San Jose, CA, USA, in August 2007 in conjunction with the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2007. The 8 revised full papers presented together with 1 keynote lecture were carefully reviewed and selected from numerous submissions. The papers address all prevailing topics concerning privacy, security, and trust aspects of data mining and knowledge discovery. Special focus is put on applied domains such as healthcare, ubiquitous computing, and location-based services. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v4890 606 $aData protection$vCongresses 615 0$aData protection 676 $a005.8 702 $aBonchi$b Francesco 712 02$aAssociation for Computing Machinery.$bSpecial Interest Group on Knowledge Discovery & Data Mining. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465750803316 996 $aPrivacy, Security, and Trust in KDD$9774170 997 $aUNISA