000 03842cam a2200493Ki 4500
001 9781003111290
003 FlBoTFG
005 20220711212801.0
006 m o d
007 cr cnu---unuuu
008 211007s2021 xx ob 0|1 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9781003111290
_q(electronic bk.)
020 _a1003111297
_q(electronic bk.)
020 _a9781000423198
_q(electronic bk. : PDF)
020 _a1000423190
_q(electronic bk. : PDF)
020 _a9781000423228
_q(electronic bk. : EPUB)
020 _a1000423220
_q(electronic bk. : EPUB)
020 _z0367628821
020 _z9780367628826
024 7 _a10.1201/9781003111290
_2doi
035 _a(OCoLC)1273731576
035 _a(OCoLC-P)1273731576
050 4 _aQA76.9.B45
072 7 _aCOM
_x021030
_2bisacsh
072 7 _aCOM
_x021000
_2bisacsh
072 7 _aUN
_2bicssc
082 0 4 _a005.7
_223
245 0 0 _aDATA SCIENCE AND DATA ANALYTICS :
_bopportunities and challenges.
264 1 _a[Place of publication not identified] :
_bCHAPMAN & HALL CRC,
_c2021.
300 _a1 online resource (1 volume) :
_billustrations (black and white).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aData science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured (labeled) and unstructured (unlabeled) data. It is the future of Artificial Intelligence (AI) and a necessity of the future to make things easier and more productive. In simple terms, data science is the discovery of data or uncovering hidden patterns (such as complex behaviors, trends, and inferences) from data. Moreover, Big Data analytics/data analytics are the analysis mechanisms used in data science by data scientists. Several tools, such as Hadoop, R, etc., are used to analyze this large amount of data to predict valuable information and for decision-making. Note that structured data can be easily analyzed by efficient (available) business intelligence tools, while most of the data (80% of data by 2020) is in an unstructured form that requires advanced analytics tools. But while analyzing this data, we face several concerns, such as complexity, scalability, privacy leaks, and trust issues. Data science helps us to extract meaningful information or insights from unstructured or complex or large amounts of data (available or stored virtually in the cloud). Data Science and Data Analytics: Opportunities and Challenges covers all possible areas, applications with arising serious concerns, and challenges in this emerging field in detail with a comparative analysis/taxonomy. FEATURES Gives the concept of data science, tools, and algorithms that exist for many useful applications Provides many challenges and opportunities in data science and data analytics that help researchers to identify research gaps or problems Identifies many areas and uses of data science in the smart era Applies data science to agriculture, healthcare, graph mining, education, security, etc. Academicians, data scientists, and stockbrokers from industry/business will find this book useful for designing optimal strategies to enhance their firm's productivity.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aBig data.
_94174
650 7 _aCOMPUTERS / Database Management / Data Mining
_2bisacsh
_912290
650 7 _aCOMPUTERS / Database Management / General
_2bisacsh
_910834
700 1 _aTyagi, Amit Kumar,
_d1988-
_eeditor.
_919614
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003111290
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cEBK
999 _c72146
_d72146