LEADER 03847nam 2200649Ia 450 001 9910484359403321 005 20251116185933.0 010 $a1-280-38962-1 010 $a9786613567543 010 $a3-642-16175-8 024 7 $a10.1007/978-3-642-16175-9 035 $a(CKB)2670000000045147 035 $a(SSID)ssj0000446844 035 $a(PQKBManifestationID)11321220 035 $a(PQKBTitleCode)TC0000446844 035 $a(PQKBWorkID)10504695 035 $a(PQKB)10922959 035 $a(DE-He213)978-3-642-16175-9 035 $a(MiAaPQ)EBC3065820 035 $a(PPN)149024479 035 $a(BIP)32334020 035 $a(EXLCZ)992670000000045147 100 $a20101101d2010 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aTransactions on large-scale data- and knowledge-centered systems II /$fAbdelkader Hameurlain ... [et al.] (eds.) 205 $a1st ed. 2010. 210 $aBerlin ;$aHeidelberg $cSpringer$dc2010 215 $a1 online resource (XI, 141 p. 65 illus.) 225 1 $aLecture notes in computer science ;$v6380 300 $a"First, it contains a selection of the best papers from the 11th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009), which was held from August 31 to September 2, 2009 in Linz, Austria. Second, it contains a special section of papers on a particularly challenging doman in information retrieval."-- Preface. 311 08$a3-642-16174-X 320 $aIncludes bibliographical references and author index. 327 $aData Warehousing and Knowledge Discovery -- Discovery of Frequent Patterns in Transactional Data Streams -- Fast Loads and Queries -- Efficient Online Aggregates in Dense-Region-Based Data Cube Representations -- Information Retrieval -- Improving Access to Large Patent Corpora -- Improving Retrievability and Recall by Automatic Corpus Partitioning. 330 $aThis special issue of TLDKS contains two kinds of papers. First, it contains a sel- th tion of the best papers from the 11 International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009), which was held from August 31 to S- tember 2, 2009 in Linz, Austria. Second, it contains a special section of papers on a particularly challenging domain in information retrieval, namely patent retrieval. Over the last decade, the International Conference on Data Warehousing and Knowledge Discovery (DaWaK) has established itself as one of the most important international scientific events within data warehousing and knowledge discovery. DaWaK brings together a wide range of researchers and practitioners working on these topics. The DaWaK conference series thus serves as a leading forum for discu- th ing novel research results and experiences within the field. The 11 International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009) cont- ued the tradition by disseminating and discussing innovative models, methods, al- rithms, and solutions to the challenges faced by data warehousing and knowledge discovery technologies. 410 0$aLecture notes in computer science ;$v6380. 606 $aData mining 606 $aData warehousing 606 $aExpert systems (Computer science) 606 $aInformation retrieval 615 0$aData mining. 615 0$aData warehousing. 615 0$aExpert systems (Computer science) 615 0$aInformation retrieval. 676 $a005.74 701 $aHameurlain$b Abdelkader$01380566 712 12$aDaWaK (Conference)$d(11th :$f2009 :$eLinz, Austria) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484359403321 996 $aTransactions on large-scale data- and knowledge-centered systems II$94187862 997 $aUNINA