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000922338 019__ $$a1117307307$$a1117700584$$a1119612122
000922338 020__ $$a9783030257972$$q(electronic book)
000922338 020__ $$a3030257975$$q(electronic book)
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000922338 0248_ $$a10.1007/978-3-030-25
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000922338 24500 $$aData visualization and knowledge engineering :$$bspotting data points with artificial intelligence /$$cJude Hemanth, Madhulika Bhatia, Oana Geman, editors.
000922338 260__ $$aCham :$$bSpringer,$$c©2020.
000922338 300__ $$a1 online resource (321 pages)
000922338 336__ $$atext$$btxt$$2rdacontent
000922338 337__ $$acomputer$$bc$$2rdamedia
000922338 338__ $$aonline resource$$bcr$$2rdacarrier
000922338 4901_ $$aLecture Notes on Data Engineering and Communications Technologies Ser. ;$$vv. 32
000922338 5050_ $$aCross Projects Defect Prediction Modeling -- Recommendation Systems for Interactive Multimedia Entertainment -- Image Collection Summarization: Past, Present and Future -- Semantic Web and Data Visualization -- Analysis and Visualization of User Navigations on Web -- Research Trends for Named Entity Recognition in Hindi Language -- Data Visualization Techniques, Model and Taxonomy -- Prevalence of Visualization Techniques in Data Mining -- Relevant Subsection Retrieval for Law Domain Question Answer System -- Brain Tumor Segmentation Using OTSU Embedded Adaptive Particle Swarm Optimization Method and Convolutional Neural Network -- Challenges and Responses Towards Sustainable Future through Machine Learning and Deep learning -- A Deep Dive into Supervised Extractive and Abstractive Summarization from Text.
000922338 506__ $$aAccess limited to authorized users.
000922338 520__ $$aThis book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies and practical examples. Data visualization and engineering has been instrumental in the development of many data-driven products and processes. As such the book promotes basic research on data visualization and knowledge engineering toward data engineering and knowledge. Visual data exploration focuses on perception of information and manipulation of data to enable even non-expert users to extract knowledge. A number of visualization techniques are used in a variety of systems that provide users with innovative ways to interact with data and reveal patterns. A variety of scalable data visualization techniques are required to deal with constantly increasing volume of data in different formats. Knowledge engineering deals with the simulation of the exchange of ideas and the development of smart information systems in which reasoning and knowledge play an important role. Presenting research in areas like data visualization and knowledge engineering, this book is a valuable resource for students, scholars and researchers in the field. Each chapter is self-contained and offers an in-depth analysis of real-world applications. It discusses topics including (but not limited to) spatial data visualization; biomedical visualization and applications; image/video summarization and visualization; perception and cognition in visualization; visualization taxonomies and models; abstract data visualization; information and graph visualization; knowledge engineering; human-machine cooperation; metamodeling; natural language processing; architectures of database, expert and knowledge-based systems; knowledge acquisition methods; applications, case studies and management issues: data administration issues and knowledge; tools for specifying and developing data and knowledge bases using tools based on communication aspects involved in implementing, d esigning and using KBSs in cyberspace; Semantic Web.
000922338 588__ $$aDescription based on print version record.
000922338 650_0 $$aInformation visualization.
000922338 7001_ $$aHemanth, Jude.
000922338 7001_ $$aBhatia, Madhulika.
000922338 7001_ $$aGeman, Oana.
000922338 77608 $$iPrint version:$$aHemanth, Jude.$$tData Visualization and Knowledge Engineering : Spotting Data Points with Artificial Intelligence.$$dCham : Springer, ©2019$$z9783030257965
000922338 830_0 $$aLecture Notes on Data Engineering and Communications Technologies ;$$vv. 32.
000922338 852__ $$bebk
000922338 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-25797-2$$zOnline Access$$91397441.1
000922338 909CO $$ooai:library.usi.edu:922338$$pGLOBAL_SET
000922338 980__ $$aEBOOK
000922338 980__ $$aBIB
000922338 982__ $$aEbook
000922338 983__ $$aOnline
000922338 994__ $$a92$$bISE