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Handbook of research on advanced dat...
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Trivedi, Shrawan Kumar, (1985-)
Handbook of research on advanced data mining techniques and applications for business intelligence
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Handbook of research on advanced data mining techniques and applications for business intelligenceShrawan Kumar Trivedi, Shubhamoy Dey, Anil Kumar, and Tapan Kumar Panda [editors].
其他作者:
Trivedi, Shrawan Kumar,
出版者:
Hershey, Pennsylvania :IGI Global,[2017]
面頁冊數:
1 online resource (438 p.) :ill.
標題:
Data mining.
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2031-3
ISBN:
9781522520320 (ebk.)
Handbook of research on advanced data mining techniques and applications for business intelligence
Handbook of research on advanced data mining techniques and applications for business intelligence
[electronic resource] /Shrawan Kumar Trivedi, Shubhamoy Dey, Anil Kumar, and Tapan Kumar Panda [editors]. - Hershey, Pennsylvania :IGI Global,[2017] - 1 online resource (438 p.) :ill.
Includes bibliographical references and index.
An introduction to data analytics: its types and its applications / A. Sheik Abdullah, S. Selvakumar, A. M. Abirami -- Data mining and statistics: tools for decision making in the age of big data / Hirak Dasgupta -- Data classification: its techniques and big data / A. Sheik Abdullah [and 3 others] -- Secure data analysis in clusters (Iris database) / Raghvendra Kumar, Prasant Kumar Pattnaik, Priyanka Pandey -- Data mining for secure online payment transaction / Masoumeh Zareapoor, Pourya Shamsolmoali, M. Afshar Alam -- The integral of spatial data mining in the era of big data: algorithms and applications / Gebeyehu Belay Gebremeskel, Chai Yi, Zhongshi He -- Social media as mirror of society / Amir Manzoor -- Business intelligence through opinion mining / T. K. Das -- Sentiment Analysis / A. M. Abirami [and 4 others] -- Aspect-based sentiment analysis of online product reviews / Vinod Kumar Mishra, Himanshu Tiruwa -- Sentiment analysis with social media analytics, methods, process, and applications / Karteek Ramalinga Ponnuru, Rashik Gupta, Shrawan Kumar Trivedi -- Organizational issue for BI success: critical success factors for BI implementations within the enterprise / Sanjiva Shankar Dubey, Arunesh Sharan -- Ethics of social media research / Amir Manzoor -- Big data analytics in health care / Keerthi Suneetha -- Mining big data for marketing intelligence / Khadija Ali Vakeel --
Restricted to subscribers or individual electronic text purchasers.
"The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. [This book] is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners"--Provided by publisher.
Mode of access: World Wide Web.
ISBN: 9781522520320 (ebk.)Subjects--Topical Terms:
184440
Data mining.
Subjects--Index Terms:
Business activity monitoring
LC Class. No.: QA76.9.D343 / H36 2017e
Dewey Class. No.: 006.312
Handbook of research on advanced data mining techniques and applications for business intelligence
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Handbook of research on advanced data mining techniques and applications for business intelligence
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Shrawan Kumar Trivedi, Shubhamoy Dey, Anil Kumar, and Tapan Kumar Panda [editors].
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An introduction to data analytics: its types and its applications / A. Sheik Abdullah, S. Selvakumar, A. M. Abirami -- Data mining and statistics: tools for decision making in the age of big data / Hirak Dasgupta -- Data classification: its techniques and big data / A. Sheik Abdullah [and 3 others] -- Secure data analysis in clusters (Iris database) / Raghvendra Kumar, Prasant Kumar Pattnaik, Priyanka Pandey -- Data mining for secure online payment transaction / Masoumeh Zareapoor, Pourya Shamsolmoali, M. Afshar Alam -- The integral of spatial data mining in the era of big data: algorithms and applications / Gebeyehu Belay Gebremeskel, Chai Yi, Zhongshi He -- Social media as mirror of society / Amir Manzoor -- Business intelligence through opinion mining / T. K. Das -- Sentiment Analysis / A. M. Abirami [and 4 others] -- Aspect-based sentiment analysis of online product reviews / Vinod Kumar Mishra, Himanshu Tiruwa -- Sentiment analysis with social media analytics, methods, process, and applications / Karteek Ramalinga Ponnuru, Rashik Gupta, Shrawan Kumar Trivedi -- Organizational issue for BI success: critical success factors for BI implementations within the enterprise / Sanjiva Shankar Dubey, Arunesh Sharan -- Ethics of social media research / Amir Manzoor -- Big data analytics in health care / Keerthi Suneetha -- Mining big data for marketing intelligence / Khadija Ali Vakeel --
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Predictive analysis for digital marketing using big data: big data for predictive analysis / Balamurugan Balusamy [and 3 others] -- Strategic best-in-class performance for voice to customer: is big data in logistics a perfect match? / Supriyo Roy, Kaushik Kumar -- First look on web mining techniques to improve business intelligence of e-commerce applications / G. Sreedhar, A. Anandaraja Chari -- Artificial intelligence in stochastic multiple criteria decision making / Hanna Sawicka -- Joint decision for price competitive inventory model with time-price and credit period dependent demand / Nita H. Shah -- On development of a fuzzy stochastic programming model with its application to business management / Animesh Biswas, Arnab Kumar De -- Ranking of cloud services using opinion mining and multi-attribute decision making: ranking of cloud services using opinion mining and MADM / Srimanyu Timmaraju, Vadlamani Ravi, G. R. Gangadharan.
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"The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. [This book] is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners"--Provided by publisher.
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Mode of access: World Wide Web.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2031-3
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