001446574 000__ 03989cam\a2200601Ii\4500 001446574 001__ 1446574 001446574 003__ OCoLC 001446574 005__ 20230310004006.0 001446574 006__ m\\\\\o\\d\\\\\\\\ 001446574 007__ cr\un\nnnunnun 001446574 008__ 220509s2022\\\\si\a\\\\o\\\\\100\0\eng\d 001446574 019__ $$a1314893025$$a1315538287 001446574 020__ $$a9789811694479$$q(electronic bk.) 001446574 020__ $$a9811694478$$q(electronic bk.) 001446574 020__ $$z9789811694462$$q(print) 001446574 020__ $$z981169446X 001446574 0247_ $$a10.1007/978-981-16-9447-9$$2doi 001446574 035__ $$aSP(OCoLC)1315033552 001446574 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dUKAHL$$dOCLCQ 001446574 049__ $$aISEA 001446574 050_4 $$aQ342 001446574 08204 $$a006.3$$223/eng/20220509 001446574 1112_ $$aInternational Conference on Computational Intelligence in Data Mining$$n(6th :$$d2021 :$$cOnline) 001446574 24510 $$aComputational intelligence in data mining :$$bproceedings of ICCIDM 2021 /$$cJanmenjoy Nayak, H.S. Behera, Bighnaraj Naik, S. Vimal, Danilo Pelusi, editors. 001446574 2463_ $$aICCIDM 2021 001446574 264_1 $$aSingapore :$$bSpringer,$$c2022. 001446574 300__ $$a1 online resource (xxvi, 764 pages) :$$billustrations (some color). 001446574 336__ $$atext$$btxt$$2rdacontent 001446574 337__ $$acomputer$$bc$$2rdamedia 001446574 338__ $$aonline resource$$bcr$$2rdacarrier 001446574 4901_ $$aSmart innovation, systems and technologies,$$x2190-3026 ;$$vvolume 281 001446574 500__ $$a"[...] the conference committee has made the difficult decision to convert the face-to-face meeting of this year to a virtual mode conference." 001446574 5050_ $$aMulti-sensor data fusion for Occupancy detection using Dempster-Shafer Theory -- Sentiment Analysis: A Recent Survey with Applications and a Proposed Ensemble Algorithm -- An Automated System for Facial Mask Detection and Social Distancing During Covid-19 Pandemic -- Detection of Insider Threats Using Deep Learning: A Review -- An Incisive analysis of Advanced Persistent Threat detection using Machine learning Techniques -- Intelligent Computing Systems For Diagnosing Plant Diseases -- Multimodal MRI Analysis for Segmentation of Intra-tumoral Regions of High-Grade Glioma using VNet and WNet based deep models -- Early Onset Alzheimer Disease Classification using Convolution Neural Network. 001446574 506__ $$aAccess limited to authorized users. 001446574 520__ $$aThis book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book is a collection of high-quality peer-reviewed research papers presented in the Sixth International Conference on Computational Intelligence in Data Mining (ICCIDM 2021) held at Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India, during December 11-12, 2021. The book addresses the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics. 001446574 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 9, 2022). 001446574 650_0 $$aComputational intelligence$$vCongresses. 001446574 650_0 $$aData mining$$vCongresses. 001446574 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001446574 655_0 $$aElectronic books. 001446574 7001_ $$aNayak, Janmenjoy,$$eeditor. 001446574 7001_ $$aBehera, Himansu Sekhar,$$eeditor. 001446574 7001_ $$aNaik, Bighnaraj,$$eeditor. 001446574 7001_ $$aVimal, S.,$$d1984-$$eeditor. 001446574 7001_ $$aPelusi, Danilo,$$eeditor. 001446574 77608 $$iPrint version: $$z981169446X$$z9789811694462$$w(OCoLC)1288664456 001446574 830_0 $$aSmart innovation, systems, and technologies ;$$v281.$$x2190-3026 001446574 852__ $$bebk 001446574 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-9447-9$$zOnline Access$$91397441.1 001446574 909CO $$ooai:library.usi.edu:1446574$$pGLOBAL_SET 001446574 980__ $$aBIB 001446574 980__ $$aEBOOK 001446574 982__ $$aEbook 001446574 983__ $$aOnline 001446574 994__ $$a92$$bISE