LEADER 05368nam 22007455 450 001 996465642703316 005 20200703170009.0 010 $a3-319-69775-7 024 7 $a10.1007/978-3-319-69775-8 035 $a(CKB)4100000000881991 035 $a(DE-He213)978-3-319-69775-8 035 $a(MiAaPQ)EBC6307208 035 $a(MiAaPQ)EBC5591772 035 $a(Au-PeEL)EBL5591772 035 $a(OCoLC)1009042848 035 $a(PPN)220121605 035 $a(EXLCZ)994100000000881991 100 $a20171028d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTowards Integrative Machine Learning and Knowledge Extraction$b[electronic resource] $eBIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers /$fedited by Andreas Holzinger, Randy Goebel, Massimo Ferri, Vasile Palade 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XVI, 207 p. 57 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v10344 300 $aIncludes index. 311 $a3-319-69774-9 327 $aTowards integrative Machine Learning & Knowledge Extraction -- Machine Learning and Knowledge Extraction in Digital Pathology needs an integrative approach -- Comparison of Public-Domain Software and Services for Probabilistic Record Linkage and Address Standardization -- Better Interpretable Models for Proteomics Data Analysis Using rule-based Mining -- Probabilistic Logic Programming in Action -- Persistent topology for natural data analysis ? A survey -- Predictive Models for Differentiation between Normal and Abnormal EEG through Cross-Correlation and Machine Learning Techniques -- A Brief Philosophical Note on Information -- Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline -- A Fast Semi-Automatic Segmentation Tool for Processing Brain Tumor Images -- Topological characteristics of oil and gas reservoirs and their applications -- Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment. 330 $aThe BIRS Workshop ?Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets? (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of ?hot topics? toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain.  The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning. 410 0$aLecture Notes in Artificial Intelligence ;$v10344 606 $aArtificial intelligence 606 $aComputers 606 $aMathematical statistics 606 $aSoftware engineering 606 $aComputer organization 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 606 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aMathematical statistics. 615 0$aSoftware engineering. 615 0$aComputer organization. 615 14$aArtificial Intelligence. 615 24$aInformation Systems and Communication Service. 615 24$aProbability and Statistics in Computer Science. 615 24$aSoftware Engineering/Programming and Operating Systems. 615 24$aComputer Systems Organization and Communication Networks. 676 $a006.3 702 $aHolzinger$b Andreas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGoebel$b Randy$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFerri$b Massimo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPalade$b Vasile$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465642703316 996 $aTowards Integrative Machine Learning and Knowledge Extraction$92829826 997 $aUNISA