Manish Kumar

Manish Kumar received his PhD degree on Data Management in Wireless Sensor Networks from Indian Institute of Information Technology, Allahabad India in 2011. He received his M.Tech in Computer Science from Birla Institute of Technology, Mesra (Ranchi) India. He is a professional member of IEEE and ACM. Currently he is working as an Assistant Professor in Department of Information Technology at Indian Institute of Information Technology, Allahabad India. His research interest includes data mining and warehousing, data management in wireless sensor networks and big data analytics. He has contributed in a number of books in the same areas and has many national and international publications in renowned journals and conferences.

Publications

Applied Big Data Analytics in Operations Management
Manish Kumar. © 2017. 251 pages.
Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart...
Predictive Analytics in Operations Management
Harsh Jain, Amrit Pal, Manish Kumar. © 2017. 25 pages.
Operations management is a field of management which emphasizes on managing the day to day operations of business organizations. These organizations possess a huge amount of data...
Predictive Analytics in Operations Management
Harsh Jain, Amrit Pal, Manish Kumar. © 2017. 19 pages.
Operations management is a field of management which emphasizes on managing the day to day operations of business organizations. These organizations possess a huge amount of data...
Frequent Itemset Mining in Large Datasets a Survey
Amrit Pal, Manish Kumar. © 2017. 13 pages.
Frequent Itemset Mining is a well-known area in data mining. Most of the techniques available for frequent itemset mining requires complete information about the data which can...
Analysis of Stock Volatility Clustering Using ANN
Manish Kumar, Santanu Das, Sneha Govil. © 2015. 14 pages.
The model building theories broadly categorize the stock index forecasting models into two broad categories: Based on statistical theory consisting models such as Stochastic...