LEADER 04160nam  22007455  450 
001 996465791103316
005 20200630155701.0
010   $a3-319-40973-5
024 7 $a10.1007/978-3-319-40973-3
035   $a(CKB)3710000000735258
035   $a(DE-He213)978-3-319-40973-3
035   $a(MiAaPQ)EBC5586657
035   $a(Au-PeEL)EBL5586657
035   $a(OCoLC)952408120
035   $a(PPN)194378578
035   $a(EXLCZ)993710000000735258
100   $a20160613d2016      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aData Mining and Big Data$b[electronic resource] $eFirst International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings /$fedited by Ying Tan, Yuhui Shi
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (XVI, 569 p. 141 illus.)
225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v9714
311   $a3-319-40972-7 
327   $aChallenges in Data Mining and Big Data -- Data Mining Algorithms -- Frequent Itemset Mining -- Spatial Data Mining -- Prediction -- Feature Selection -- Information Extraction -- Classification -- Anomaly Pattern and Diagnosis -- Data Visualization Analysis -- Privacy Policy -- Social Media -- Query Optimization and Processing Algorithm -- Big Data -- Computational Aspects of Pattern Recognition and Computer Vision.
330   $aThe LNCS volume LNCS 9714 constitutes the refereed proceedings of the International Conference on Data Mining and Big Data, DMBD 2016, held in Bali, Indonesia, in June 2016. The 57 papers presented in this volume were carefully reviewed and selected from 115 submissions. The theme of DMBD 2016 is "Serving Life with Data Science". Data mining refers to the activity of going through big data sets to look for relevant or pertinent information. The papers are organized in 10 cohesive sections covering all major topics of the research and development of data mining and big data and one Workshop on Computational Aspects of Pattern Recognition and Computer Vision.
410  0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v9714
606   $aPattern recognition
606   $aArtificial intelligence
606   $aApplication software
606   $aInformation storage and retrieval
606   $aDatabase management
606   $aAlgorithms
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040
606   $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032
606   $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024
606   $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021
615  0$aPattern recognition.
615  0$aArtificial intelligence.
615  0$aApplication software.
615  0$aInformation storage and retrieval.
615  0$aDatabase management.
615  0$aAlgorithms.
615 14$aPattern Recognition.
615 24$aArtificial Intelligence.
615 24$aInformation Systems Applications (incl. Internet).
615 24$aInformation Storage and Retrieval.
615 24$aDatabase Management.
615 24$aAlgorithm Analysis and Problem Complexity.
676   $a006.4
702   $aTan$b Ying$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aShi$b Yuhui$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996465791103316
996   $aData Mining and Big Data$92069903
997   $aUNISA