LEADER 05979nam 22007695 450 001 996465820403316 005 20210923200431.0 010 $a3-540-33181-6 024 7 $a10.1007/11730262 035 $a(CKB)1000000000232899 035 $a(SSID)ssj0000318573 035 $a(PQKBManifestationID)11239153 035 $a(PQKBTitleCode)TC0000318573 035 $a(PQKBWorkID)10311044 035 $a(PQKB)10640889 035 $a(DE-He213)978-3-540-33181-0 035 $a(MiAaPQ)EBC3067788 035 $a(PPN)123132959 035 $a(EXLCZ)991000000000232899 100 $a20100301d2006 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aKnowledge Discovery from XML Documents$b[electronic resource] $eFirst International Workshop, KDXD 2006, Singapore, April 9, 2006, Proceedings /$fedited by Richi Nayak, Mohammed J. Zaki 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (VIII, 105 p.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v3915 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-33180-8 320 $aIncludes bibliographical references and index. 327 $aKeynote Papers -- Opportunities for XML Data Mining in Modern Applications, or XML Data Mining: Where Is the Ore? -- Capturing Semantics in XML Documents -- XML Data Mining Methods -- Mining Changes from Versions of Dynamic XML Documents -- XML Document Clustering by Independent Component Analysis -- Discovering Multi Terms and Co-hyponymy from XHTML Documents with XTREEM -- Classification of XSLT-Generated Web Documents with Support Vector Machines -- Machine Learning Models: Combining Evidence of Similarity for XML Schema Matching -- XML Data Reasoning and Querying Methods -- Information Retrieval from Distributed Semistructured Documents Using Metadata Interface -- Using Ontologies for Semantic Query Optimization of XML Database -- The Expressive Language ALCNHR+K(D) for Knowledge Reasoning -- A New Scheme to Fingerprint XML Data -- A Novel Labeling Scheme for Secure Broadcasting of XML Data. 330 $aThe KDXD 2006 (Knowledge Discovery from XML Documents) workshop is the ?rst international workshop running this year in conjunction with the 10th Paci?c-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2006. The workshop provided an important forum for the dissemination and exchange of new ideas and research related to XML data discovery and retrieval. The eXtensible Markup Language (XML) has become a standard language for data representation and exchange. With the continuous growth in XML data sources,theabilitytomanagecollectionsofXMLdocumentsanddiscoverkno- edge from them for decision support becomes increasingly important. Due to the inherent ?exibility ofXML, in both structure and semantics, inferring important knowledge from XML data is faced with new challenges as well as bene?ts. The objective of the workshop was to bring together researchers and practitioners to discuss all aspects of the emerging XML data management challenges. Thus, the topics of interest included, but were not limited to: XML data mining methods; XML data mining applications; XML data management emerging issues and challenges; XML in improving knowledge discovery process; and Benchmarks and mining performance using XML databases. The workshop received 26 submissions. We would like to thank all those who submittedtheirworktotheworkshopunderrelativelypressuringtimedeadlines. We selected ten high-quality full papers for discussion and presentation in the workshop and for inclusion in the proceedings after being peer-reviewed by at least three members of the Program Committee. Accepted papers were grouped in three sessions and allocated equal presentation time slots. The ?rst session was on XML data mining methods of classi?cation, clustering and association. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v3915 606 $aData structures (Computer science) 606 $aDatabase management 606 $aArtificial intelligence 606 $aInformation storage and retrieval 606 $aMathematical statistics 606 $aComputers 606 $aData Structures and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15009 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 615 0$aData structures (Computer science). 615 0$aDatabase management. 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval. 615 0$aMathematical statistics. 615 0$aComputers. 615 14$aData Structures and Information Theory. 615 24$aDatabase Management. 615 24$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 615 24$aProbability and Statistics in Computer Science. 615 24$aComputation by Abstract Devices. 676 $a005.74 702 $aNayak$b Richi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZaki$b Mohammed J$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465820403316 996 $aKnowledge Discovery from XML Documents$9772711 997 $aUNISA LEADER 00997nam2 22002531i 450 001 RML0272356 005 20231121125725.0 100 $a20121121d1963 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $a1.: 1767-1788 $fVittorio Alfieri$ga cura di Lanfranco Caretti 210 $aAsti $cCasa d'Alfieri $d1963 215 $aXX, 426 p.$d25 cm 462 1$1001RML0272346$12001 $aEpistolario$fVittorio Alfieri$ga cura di Lanfranco Caretti$1702 1$aCaretti$b, Lanfranco$3RMLV159174$1700 1$aAlfieri$b, Vittorio$3RMLV172123 801 3$aIT$bIT-01$c20121121 850 $aIT-FR0017 899 $aBiblioteca umanistica Giorgio Aprea$bFR0017 912 $aRML0272356 950 2$aBiblioteca umanistica Giorgio Aprea$d 52CIS 3/265.14$e 52VM 0000425615 VM barcode:00014150. - Inventario:8235 FLSVM$fA $h20040406$i20121204 977 $a 52 996 $a1.: 1767-1788$93625469 997 $aUNICAS