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Books > Computing & IT > Applications of computing > Artificial intelligence
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Innovations in Big Data Mining and Embedded Knowledge (Paperback, 1st ed. 2019)
Loot Price: R2,789
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Innovations in Big Data Mining and Embedded Knowledge (Paperback, 1st ed. 2019)
Series: Intelligent Systems Reference Library, 159
Expected to ship within 10 - 15 working days
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This book addresses the usefulness of knowledge discovery through
data mining. With this aim, contributors from different fields
propose concrete problems and applications showing how data mining
and discovering embedded knowledge from raw data can be beneficial
to social organizations, domestic spheres, and ICT markets. Data
mining or knowledge discovery in databases (KDD) has received
increasing interest due to its focus on transforming large amounts
of data into novel, valid, useful, and structured knowledge by
detecting concealed patterns and relationships. The concept of
knowledge is broad and speculative and has promoted epistemological
debates in western philosophies. The intensified interest in
knowledge management and data mining stems from the difficulty in
identifying computational models able to approximate human
behaviors and abilities in resolving organizational, social, and
physical problems. Current ICT interfaces are not yet adequately
advanced to support and simulate the abilities of physicians,
teachers, assistants or housekeepers in domestic spheres. And
unlike in industrial contexts where abilities are routinely
applied, the domestic world is continuously changing and
unpredictable. There are challenging questions in this field: Can
knowledge locked in conventions, rules of conduct, common sense,
ethics, emotions, laws, cultures, and experiences be mined from
data? Is it acceptable for automatic systems displaying emotional
behaviors to govern complex interactions based solely on the mining
of large volumes of data? Discussing multidisciplinary themes, the
book proposes computational models able to approximate, to a
certain degree, human behaviors and abilities in resolving
organizational, social, and physical problems. The innovations
presented are of primary importance for: a. The academic research
community b. The ICT market c. Ph.D. students and early stage
researchers d. Schools, hospitals, rehabilitation and
assisted-living centers e. Representatives from multimedia
industries and standardization bodies
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