Receive a 20% Discount on All Purchases Directly Through IGI Global's Online Bookstore Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence Shrawan Kumar Trivedi (/affiliate/shrawan-kumar-trivedi/315068/) (BML Munjal University, India), Shubhamoy Dey (/affiliate/shubhamoy-dey/314519/) (Indian Institute of Management Indore, India), Anil Kumar (/affiliate/anilkumar/315069/) (BML Munjal University, India) and Tapan Kumar Panda (/affiliate/tapan-kumar-panda/315070/) (Jindal Global Business School, India) Release Date: February, 2017 | Copyright: © 2017 | Pages: 438 ISBN13: 9781522520313 | ISBN10: 1522520317 | EISBN13: 9781522520320 | DOI: 10.4018/978-1-5225-2031-3
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nhanced the visualization of data to inform and facilitate business management and strategizing. By his allows for advance reporting tools to cater to company-specific issues and challenges.
a Mining Techniques and Applications for Business Intelligence is a key resource on the latest use of mining software solutions to achieve optimal decision-making and risk management results. sing, business activity monitoring, and text mining, this publication is an ideal reference source for research
ation include, but are not limited to:
ontributors Reset
Kumar, Tapan Kumar Panda
View Full PDF (/pdf.aspx? tid=178087&ptid=171021&ctid=15&t=Editorial Advisory Board) View Full PDF (/pdf.aspx? tid=178089&ptid=171021&ctid=15&t=Table of Contents) View Full PDF (/pdf.aspx? tid=178090&ptid=171021&ctid=15&t=Detailed Table of Contents) View Full PDF (/pdf.aspx? tid=178091&ptid=171021&ctid=15&t=Preface) View Full PDF (/pdf.aspx? tid=178092&ptid=171021&ctid=15&t=Acknowledgment)
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Its Applications (/chapter/an-introduction-to-data-analytics/178094) i
examining and investigating raw data to derive useful patterns and 71021&t=An Introduction to Data Analytics: Its Types and Its Applications)
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Making in the Age of Big Data (/chapter/data-mining-and-
h data. In order to obtain an intelligent appreciation of current 71021&t=Data Mining and Statistics: Tools for Decision Making in the Age of
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a (/chapter/data-classification/178096) (pages 34-51)
S. Rajaram
data analysis technique which can be used over many applications. 71021&t=Data Classification: Its Techniques and Big Data)
$37.50 ) (/chapter/secure-data-analysis-in-clusters-iris-database/178097)
riyanka Pandey
ues (Data Modification) to ensure Privacy. Privacy preservation is 71021&t=Secure Data Analysis in Clusters (Iris Database))
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ction (/chapter/data-mining-for-secure-online-payment-
M. Afshar Alam
approach where the objective is to correctly classify the transactions 71021&t=Data Mining for Secure Online Payment Transaction)
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Big Data: Algorithms and Applications (/chapter/the-integral-of99) (pages 90-126)
shi He
n many disciplines, and it is greatly inspiring to analyze massive data 71021&t=The Integral of Spatial Data Mining in the Era of Big Data:
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al-media-as-mirror-of-society/178101) (pages 128-141)
ned much attention of scholarly researchers. One specific reason of 71021&t=Social Media as Mirror of Society)
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/chapter/business-intelligence-through-opinion-mining/178102)
ferent strategies to impress upon their customers and attract them 71021&t=Business Intelligence through Opinion Mining)
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s/178103) (pages 162-174)
, S. Selvakumar, C. Mahalakshmi
rocessing to process the billions of daily social conversations across
tlesample.aspx?id=178103&ptid=171021&t=Sentiment Analysis)
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nguistics concerned with extracting sentiment and emotion from text. 71021&t=Aspect-Based Sentiment Analysis of Online Product Reviews)
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, Methods, Process, and Applications (/chapter/sentiment-analysisnd-applications/178105) (pages 192-208)
rawan Kumar Trivedi
a analytics to get to know what people are really talking about their 71021&t=Sentiment Analysis with Social Media Analytics, Methods, Process,
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ccess Factors for BI Implementations within the Enterprise 78106) (pages 209-224)
ect Business Intelligence (BI) brings to an organization decision 71021&t=Organizational Issue for BI Success: Critical Success Factors for BI
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s-of-social-media-research/178107) (pages 225-238)
ve become a very popular channel of communication. This 71021&t=Ethics of Social Media Research)
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data-analytics-in-health-care/178109) (pages 240-249)
t of data (Big Data) there is a need towards implementation of 71021&t=Big Data Analytics in Health Care)
$37.50 pter/mining-big-data-for-marketing-intelligence/178110) (pages 250-
useful in big data analysis. Specifically, it will elaborate on how to use 71021&t=Mining Big Data for Marketing Intelligence)
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Big Data: Big Data for Predictive Analysis (/chapter/predictive78111) (pages 259-283)
si, Malathi Velu d lightning fast applications that deal with predictive analysis of huge 71021&t=Predictive Analysis for Digital Marketing Using Big Data: Big Data
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o Customer: Is Big Data in Logistics a Perfect Match? r-voice-to-customer/178112) (pages 284-296)
onal information which is typically historical, incomplete and most of 71021&t=Strategic Best-in-Class Performance for Voice to Customer: Is Big
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ve Business Intelligence of E-Commerce Applications (/chapter/firstsiness-intelligence-of-e-commerce-applications/178114) (pages
ng techniques to extract useful knowledge from web data like 71021&t=First Look on Web Mining Techniques to Improve Business
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ria Decision Making (/chapter/artificial-intelligence-in-stochastices 315-340)
multiple criteria decision making (MCDM) method to solve complex 71021&t=Artificial Intelligence in Stochastic Multiple Criteria Decision
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Model with Time-Price and Credit Period Dependent Demand ventory-model-with-time-price-and-credit-period-dependent-
d of two front-runner retailers and one supplier. The retailers' offer 71021&t=Joint Decision for Price Competitive Inventory Model with Time-
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mming Model with Its Application to Business Management -programming-model-with-its-application-to-business-
programming for multiobjective aggregate production planning in 71021&t=On Development of a Fuzzy Stochastic Programming Model with Its
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ng and Multi-Attribute Decision Making: Ranking of Cloud Services king-of-cloud-services-using-opinion-mining-and-multi-attribute-
angadharan
siness organizations around the world. Many applications are getting
71021&t=Ranking of Cloud Services Using Opinion Mining and MultiUsing Opinion Mining and MADM) View Full PDF (/pdf.aspx? tid=178120&ptid=171021&ctid=17&t=About the Contributors) View Full PDF (/pdf.aspx? tid=178121&ptid=171021&ctid=17&t=Index)
or of Information Systems in the School of Management at BML Munjal University. He has completed his nt Indore. Prior to this, he did his M.Tech (IT) from Indian Institute of Information Technology Allahabad, M.Sc. ogy, C.S.J.M. University Kanpur and B.Sc (PCM) from C.S.J.M. University Kanpur. He has his expertise in of interest includes Business Intelligence and Analytics, Management Information Systems, Enterprise T Strategy etc. He also has expertise in several software tools like SPSS, SAS, Matlab, Clementine and some he has published his research papers in reputed international journals and presented his research in many wed in IEEE Xplore, ACM portals and many peer reviewed journals. In his academics, he has done many ower Amplifier, E10 B switching Systems, GSM etc. During his M.Tech (IT), he has worked on Wireless protocol for routing. In his FPM, he has worked on Text mining and developed some new algorithms for t Mining, Data Mining, Big Data, Inter Organisation Systems and applications like Spam Classification,
stems at Indian Institute of Management Indore, India. He completed his Ph. D from the School of of Technology from Indian Institute of Technology (IITKharagpur). He specializes in Data Mining and has 25 rience in UK, USA and India.
nt and Quantitative Techniques in the School of Management at BML Munjal University, Gurgaon India. He m Indian Institute of Information Technology and Management, Gwalior. He earned his MBA, MSc (Kurukshetra University, Kurukshetra) and Graduation in Mathematics-Hons from the same University. He n 27 research papers/book chapters and also four books in his credit. His research interest includes ng, fuzzy multi-criteria decision making, fuzzy optimisation, application of soft-computing and econometrics aking and fuzzy applications in e-commerce and M-commerce.
ston, USA, where he completed an MBA in Global Energy. He holds a PhD in Business Administration. He Ms – Lucknow, Kozhikode and Indore. He has also officiated as Director, Indian Institute of Management, d (a BSE and NSE listed company) as its president -marketing & corporate affairs. He has more than twenty nding and customer relationship management. He was also Director at Great Lakes Institute of Management, versity of Houston, Texas, USA; University of Cincinnati, Ohio, USA; Fudan University, Shanghai, China; on eople from reputed organizations like ONGC, GAIL, SAIL, EIL, HUL, LG, AXIS Bank, and TVS Motors. He is a A), National Board of Accreditation (NBA), and AIMA. He has published extensively in reputed national and onal conferences across the world. He has more than 50 research papers and16 books to his credit. His ent (Oxford University Press), Marketing Management (Excel Books), Tourism Management (Orient s newspapers and magazines; and has participated in CNBC and Zee Business programmes
dices/reference-universe/116/)
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