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Subrat SaurabhAuthor of Kuch Woh Pal
Concepts of Data Warehousing and Data Mining.
Chapter 1 deals with Fundamentals of Data Mining, Functionalities, Classification of Data Mining systems and Data Mining Task Primitives.
Chapter 2 is about Preprocessing, Need for Preprocessing the Data, Data Warehouse and OLAP Technology for Data Mining, Data Warehouse and Multidimensional Data Model.
Chapter 3 is focused on Mining Frequent Patterns, Associations and Correlations, Classification and Prediction- Issues, Decision Tree Induction and Bayesian Classification.
Chapter 4 focuses on Classification by Back propagation, Support Vector Machines, Cluster Analysis-Types, Major Clustering Methods and Outlier Analysis.
Chapter 5 is explained about Mining Streams, Time Series and Sequence Data and Graph Mining.
Dr.kolluru Venkata Nagendra
Dr. Kolluru Venkata Nagendra completed his Bachelor Degree in Computer Science from Sri Venkateswara University, Tirupathi. He completed his Master Degree in Computer Applications from Jawaharlal Nehru Technological University, Hyderabad. He completed his Master of Technology in Computer Science & Engineering from Acharya Nagarjuna University, Guntur. He completed his Ph.D in Computer Science from Vikrama Simhapuri University, Nellore, Andhra Pradesh.
He has published more than 40 papers in UGC & Scopus Journals. He wrote various text books in Computers. He has got more than a Decade of experience in various engineering colleges. Currently he is working as a Professor in the department of CSE at Audisankara College of Engineering & Technology (Autonomous), Gudur, Nellore (DT). His areas of interest include Big Data; Data ware housing and Data Mining and Cloud Computing.
