LEADER 04348nam 22006495 450 001 9910568253803321 005 20250626164053.0 010 $a3-030-93088-2 024 7 $a10.1007/978-3-030-93088-2 035 $a(MiAaPQ)EBC6986477 035 $a(Au-PeEL)EBL6986477 035 $a(CKB)22371878700041 035 $a(DE-He213)978-3-030-93088-2 035 $a(EXLCZ)9922371878700041 100 $a20220510d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Classification and Incremental Clustering in Data Mining and Machine Learning /$fby Sanjay Chakraborty, Sk Hafizul Islam, Debabrata Samanta 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (210 pages) 225 1 $aEAI/Springer Innovations in Communication and Computing,$x2522-8609 311 08$aPrint version: Chakraborty, Sanjay Data Classification and Incremental Clustering in Data Mining and Machine Learning Cham : Springer International Publishing AG,c2022 9783030930875 327 $aIntroduction to Data Mining & Knowledge Discovery -- A Brief Concept on Machine Learning -- Supervised Learning based Data Classification and Incremental Clustering -- Data Classification and Incremental Clustering using Unsupervised Learning -- Research Intention towards Incremental Clustering -- Applications and Trends in Data Mining & Machine Learning -- Feature subset selection techniques with Machine Learning -- Data Mining Based variant subsets features. 330 $aThis book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master machine learning based on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques. Provides a comprehensive review of various data mining techniques and architecture, primarily focusing on supervised and unsupervised learning Presents hands-on coding examples using three popular coding platforms: R, Python, and Java Includes case-studies, examples, practice problems, questions, and solutions for students and professionals, focusing on machine learning and data science. 410 0$aEAI/Springer Innovations in Communication and Computing,$x2522-8609 606 $aTelecommunication 606 $aComputational intelligence 606 $aComputer vision 606 $aData mining 606 $aCommunications Engineering, Networks 606 $aComputational Intelligence 606 $aComputer Vision 606 $aData Mining and Knowledge Discovery 615 0$aTelecommunication. 615 0$aComputational intelligence. 615 0$aComputer vision. 615 0$aData mining. 615 14$aCommunications Engineering, Networks. 615 24$aComputational Intelligence. 615 24$aComputer Vision. 615 24$aData Mining and Knowledge Discovery. 676 $a006.312 676 $a006.31 700 $aChakraborty$b Sanjay$01228885 702 $aIslam$b Sk Hafizul 702 $aSamanta$b Debabrata 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910568253803321 996 $aData classification and incremental clustering in data mining and machine learning$92986729 997 $aUNINA LEADER 04000nam 22008415 450 001 9910578695403321 005 20251229071817.0 010 $a3-031-08786-0 024 7 $a10.1007/978-3-031-08786-8 035 $a(MiAaPQ)EBC7019574 035 $a(Au-PeEL)EBL7019574 035 $a(CKB)23931924700041 035 $aEBL7019574 035 $a(AU-PeEL)EBL7019574 035 $a(PPN)26915065X 035 $a(BIP)84610189 035 $a(BIP)84212818 035 $a(DE-He213)978-3-031-08786-8 035 $a(EXLCZ)9923931924700041 100 $a20220618d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the American Solar Energy Society National Conference $eASES SOLAR 2022 /$fedited by Ashok Kumar Ghosh, Carly Rixham 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (322 pages) 225 1 $aSpringer Proceedings in Energy,$x2352-2542 300 $aDescription based upon print version of record. 311 08$aPrint version: Ghosh, Ashok Kumar Proceedings of the American Solar Energy Society National Conference Cham : Springer International Publishing AG,c2022 9783031087851 320 $aIncludes bibliographical references and index. 327 $aTrack 1: Energy Transformation -- Track 2: Economic Justice -- Track 3: Energy Policy.-Track 4: Grid Integration and PV Advances -- Track 5: Buildings Innovations -- Track 6: Clean Transportation -- Track 7: Education. 330 $aThis book focuses on the complex topic of ?Energy Transition with Economic Justice? and highlights research presented during the American Solar Energy Society?s National Solar Conference (ASES SOLAR 2022) held at the University of New Mexico. This conference brings together a broad base of solar and renewable energy professionals and thought leaders, including researchers, architects, engineers, entrepreneurs, installers, manufacturers, economists, finance professionals, and policy makers, and provides a platform for the exchange of ideas, information and business insights and unbiased perspectives on progress toward greater sustainability. The conference papers explore interests of shared values and identify contentious issues in the transition towards 100% renewable energy in the United States, especially on public lands, within tribal communities, and frontier areas. Presents leading-edge research; Offers a broad range of solution models; Includes case studies. . 410 0$aSpringer Proceedings in Energy,$x2352-2542 606 $aRenewable energy sources 606 $aSolar energy 606 $aElectric power distribution 606 $aPhotovoltaic power generation 606 $aEnergy policy 606 $aEnergy policy 606 $aSustainability 606 $aRenewable Energy 606 $aSolar Thermal Energy 606 $aEnergy Grids and Networks 606 $aPhotovoltaics 606 $aEnergy Policy, Economics and Management 606 $aSustainability 615 0$aRenewable energy sources. 615 0$aSolar energy. 615 0$aElectric power distribution. 615 0$aPhotovoltaic power generation. 615 0$aEnergy policy. 615 0$aEnergy policy. 615 0$aSustainability. 615 14$aRenewable Energy. 615 24$aSolar Thermal Energy. 615 24$aEnergy Grids and Networks. 615 24$aPhotovoltaics. 615 24$aEnergy Policy, Economics and Management. 615 24$aSustainability. 676 $a333.794 676 $a333.79230973 702 $aRixham$b Carly 702 $aGhosh$b Ashok Kumar 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910578695403321 996 $aProceedings of the American Solar Energy Society National Conference$92883334 997 $aUNINA