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Applying Predictive Analytics Within the Service Sector [Kõva köide]

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"This book analyses the current trends, key uses and broad service provider landscape for analytics services, specifically for the service sector both offline and online Channels. It also analyzes the evolution in technology and people expertise that hasenabled service providers to meet this growing need of service sector and make previously inconceivable tasks possible"--

Editors Sahu, Dash, and Kumar present readers with a collection of academic and research perspectives on the incorporation of analysis techniques to enhance various aspects of business performance. The fourteen selections that make up the main body of the text are devoted to predictive analysis of emotions for improving customer service, the predictive modeling and mind-set segments underlying health plans, recommender systems, and a wide variety of other related subjects. Rajendra Sahu and Manoj Dash are faculty members of the ABV-Indian Institute of Information Technology and Management. Anil Kumar is a faculty member of BML Munjal University in India. Annotation ©2017 Ringgold, Inc., Portland, OR (protoview.com)
Preface xv
Acknowledgment xix
Chapter 1 Alternative Clustering
1(12)
Avinash Navlani
V. B. Gupta
Chapter 2 An Evaluation of Turkey's NUTS Level Regions According to Banking Sector With MULTIMOORA Method
13(21)
Onur Onay
Chapter 3 Analytics in Public Policy Related to Service Sector
34(20)
Maryam Ebrahimi
Chapter 4 Bug Handling in Service Sector Software
54(20)
Anjali Goyal
Neetu Sardana
Chapter 5 Clustering Techniques Within Service Sector
74(14)
Ibrahim Yazici
Omer Faruk Beyca
Selim Zaim
Chapter 6 Descriptive Analytics
88(25)
A. Sheik Abdullah
S. Selvakumar
C. Ramya
Chapter 7 Personalized Content Recommendation Engine for Web Publishing Services Using Textmining and Predictive Analytics
113(12)
Basar Oztaysi
Ahmet Tezcan Tekin
Cansu Ozdikicioglu
Kerim Caner Tumkaya
Chapter 8 Predictive Analysis of Emotions for Improving Customer Services
125(10)
Vinay Kumar Jain
Shishir Kumar
Chapter 9 Predictive Modelling and Mind-Set Segments Underlying Health Plans
135(22)
Gillie Gabay
Howard Moskowitz
Steven Onufrey
Stephen Rappaport
Chapter 10 Prioritizing and Analyzing Demand Chain Management (DCM) Processes in Indian Retailing Using AHP
157(19)
Arun Kumar Deshmukh
Ashutosh Mohan
Chapter 11 Recommender System
176(22)
Avinash Navlani
Nidhi Dadhich
Chapter 12 Strengths and Limitations of Social Media Analytics Tools
198(22)
Drazena Gaspar
Mirela Mabic
Chapter 13 Using Functional Link Artificial Neural Network (FLANN) for Bank Credit Risk Assessment
220(23)
Saroj Kanta Jena
Maheshwar Dwivedy
Anil Kumar
Chapter 14 Vehicular Traffic Forecasting in Filling Station
243(20)
Peeyush Pandey
Tuhin Sengupta
Compilation of References 263(24)
About the Contributors 287(6)
Index 293
Rajendra Sahu, Indian Institute of Information Technology & Management, India.

Manoj Dash, Indian Institute of Information Technology & Management, India.

Anil Kumar, BML Munjal University, India.