LEADER 01208nam0 22002771i 450 001 UON00078357 005 20231205102420.250 100 $a20020107d1940 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aMissione biologica nel paese dei Borana. I: Condizioni biogeografiche e antropiche$fEdoardo Zavattari 210 $aRoma$cReale Accademia d'Italia$d1940 215 $a533 p.$cill.$d25 cm 410 1$1001UON00067205$12001 $aCentro Studi per l'Africa Orientale Italiana$fReale Accademia d'Italia$v4,1 606 $aETIOPIA$xGeografia$3UONC018868$2FI 620 $aIT$dRoma$3UONL000004 676 $a916.3$cGEOGRAFIA DELL'ETIOPIA$v21 700 1$aZAVATTARI$bEdoardo$3UONV051488$0446768 712 $aReale Accademia d'Italia$3UONV247313$4650 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00078357 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI ET VIII B c 002 $eSI AA 18635 5 002 996 $aMissione biologica nel paese dei Borana. I: Condizioni biogeografiche e antropiche$91298863 997 $aUNIOR LEADER 05422nam 22007935 450 001 9910483838203321 005 20251226200021.0 010 $a3-540-47128-6 024 7 $a10.1007/11899402 035 $a(CKB)1000000000284056 035 $a(SSID)ssj0000321041 035 $a(PQKBManifestationID)11231147 035 $a(PQKBTitleCode)TC0000321041 035 $a(PQKBWorkID)10276814 035 $a(PQKB)11737929 035 $a(DE-He213)978-3-540-47128-8 035 $a(MiAaPQ)EBC3068556 035 $a(PPN)123139147 035 $a(EXLCZ)991000000000284056 100 $a20100301d2006 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Web Mining and Web Usage Analysis $e6th International Workshop on Knowledge Discovery on the Web, WEBKDD 2004, Seattle, WA, USA, August 22-25, 2004, Revised Selected Papers /$fedited by Bamshad Mobasher, Olfa Nasraoui, Bing Liu, Brij Masand 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (X, 189 p.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v3932 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-47127-8 320 $aIncludes bibliographical references and index. 327 $aWeb Usage Analysis and User Modeling -- Mining Temporally Changing Web Usage Graphs -- Improving the Web Usage Analysis Process: A UML Model of the ETL Process -- Web Personalization and Recommender Systems -- Mission-Based Navigational Behaviour Modeling for Web Recommender Systems -- Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors -- Collaborative Quality Filtering: Establishing Consensus or Recovering Ground Truth? -- Search Personalization -- Spying Out Accurate User Preferences for Search Engine Adaptation -- Using Hyperlink Features to Personalize Web Search -- Semantic Web Mining -- Discovering Links Between Lexical and Surface Features in Questions and Answers -- Integrating Web Conceptual Modeling and Web Usage Mining -- Boosting for Text Classification with Semantic Features -- Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts. 330 $aTheWebisaliveenvironmentthatmanagesanddrivesawidespectrumofapp- cations in which a user may interact with a company, a governmental authority, a non-governmental organization or other non-pro?t institution or other users. User preferences and expectations, together with usage patterns, form the basis for personalized, user-friendly and business-optimal services. Key Web business metrics enabled by proper data capture and processing are essential to run an e?ective business or service. Enabling technologies include data mining, sc- able warehousing and preprocessing, sequence discovery, real time processing, document classi?cation, user modeling and quality evaluation models for them. Recipient technologies required for user pro?ling and usage patterns include recommendation systems, Web analytics applications, and application servers, coupled with content management systems and fraud detectors. Furthermore, the inherent and increasing heterogeneity of the Web has - quired Web-based applications to more e?ectively integrate a variety of types of data across multiple channels and from di?erent sources. The development and application of Web mining techniques in the context of Web content, Web usage, and Web structure data has already resulted in dramatic improvements in a variety of Web applications, from search engines, Web agents, and content management systems, to Web analytics and personalization services. A focus on techniques and architectures for more e?ective integration and mining of c- tent, usage,and structure data from di?erent sourcesis likely to leadto the next generation of more useful and more intelligent applications. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v3932 606 $aArtificial intelligence 606 $aComputer networks 606 $aDatabase management 606 $aInformation storage and retrieval systems 606 $aApplication software 606 $aComputers and civilization 606 $aArtificial Intelligence 606 $aComputer Communication Networks 606 $aDatabase Management 606 $aInformation Storage and Retrieval 606 $aComputer and Information Systems Applications 606 $aComputers and Society 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 0$aDatabase management. 615 0$aInformation storage and retrieval systems. 615 0$aApplication software. 615 0$aComputers and civilization. 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aComputer and Information Systems Applications. 615 24$aComputers and Society. 676 $a006.3 701 $aMobasher$b Bamshad$0899226 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483838203321 996 $aAdvances in Web mining and Web usage analysis$94198412 997 $aUNINA