LEADER 01164nam a2200313 i 4500 001 991000823679707536 005 20020507174040.0 008 990111s1976 nyu ||| | eng 020 $a0387901485 035 $ab10762206-39ule_inst 035 $aLE01302856$9ExL 040 $aDip.to Matematica$beng 082 0 $a514.72 084 $aAMS 57R 100 1 $aHirsch, Morris W.$013761 245 10$aDifferential topology /$cMorris W. Hirsch 260 $aNew York :$bSpringer-Verlag,$c1976 300 $ax, 221 p. :$bill. ;$c25 cm 490 0 $aGraduate texts in mathematics,$x0072-5285 ;$v33 500 $aIncludes index 504 $aBibliography: p. 209-212 650 0$aDifferential topology 907 $a.b10762206$b23-01-18$c28-06-02 912 $a991000823679707536 945 $aLE013 57R HIR12 (1976)$g1$i2013000106380$lle013$o-$pE0.00$q-$rl$s- $t0$u5$v3$w5$x0$y.i1085759x$z28-06-02 945 $aLE013 Fondo Moscatelli 57R HIR12 (1976)$g1$i2013000228969$lle013$og$pE60.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i15830263$z23-01-18 996 $aDifferential topology$9348499 997 $aUNISALENTO 998 $ale013$b01-01-99$cm$da $e-$feng$gnyu$h0$i1 LEADER 03408nam 2200517Ia 450 001 9910437983003321 005 20200520144314.0 010 $a94-007-7293-9 024 7 $a10.1007/978-94-007-7293-9 035 $a(OCoLC)857230044 035 $a(MiFhGG)GVRL6YDZ 035 $a(CKB)2670000000536679 035 $a(MiAaPQ)EBC1399096 035 $a(EXLCZ)992670000000536679 100 $a20111102d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 04$aThe 3rd International Workshop on Intelligent Data Analysis and Management /$fLorna Uden ...[et. al.], editors 205 $a1st ed. 2013. 210 $aDordrecht $cSpringer Science$d2013 215 $a1 online resource (x, 132 pages) $cillustrations (some color) 225 0 $aSpringer proceedings in complexity 300 $a"ISSN: 2213-8684." 311 $a94-007-7292-0 311 $a94-007-9286-7 320 $aIncludes bibliographical references. 327 $aAn Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies -- Memory-Aware Mining of Indirect Associations over Data Streams -- Graph-based batch mode active learning -- One Pass Outlier Detection for Streaming Categorical Data -- Measuring of QoE for Cloud Applications -- Mining Weighted Partial Periodic Patterns -- Edge Selection for Degree Anonymization on K Shortest Paths -- K-Neighborhood Shortest Path Privacy in the Cloud -- The Framework of Information Processing Network for Supply Chain Innovation in Big Data Era -- Website Navigation Recommendation Based on Reinforcement Learning Technique -- An Approach for Hate Groups Detection in Facebook -- Toward Crowdsourcing Data Mining -- Wireless Security Analysis Using War Drive Investigation in Kaohsiung Areas -- Guanxi buying in the social media environment -- Introspection of unauthorized sharing on social networking sites. 330 $aThese papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc. 410 0$aSpringer proceedings in complexity. 517 3 $aThird International Workshop on Intelligent Data Analysis and Management 606 $aMathematical statistics$xData processing 606 $aArtificial intelligence 615 0$aMathematical statistics$xData processing. 615 0$aArtificial intelligence. 676 $a004 701 $aUden$b Lorna$f1946-$01740634 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437983003321 996 $aThe 3rd International Workshop on Intelligent Data Analysis and Management$94204822 997 $aUNINA