Invited Speaker---Dr. Poli Venkata Subba Reddy, Professor
Department of Computer Science and Engineering, Sri Venkateswara University, Tirupati, India
Prof. Poli Venkata Subba Reddy is currently working as Professor, Computer Science and Engineering, College of Engineering, Sri Venkateswara University, Tirupati, India. He did M.Sc (Applied Mathematics, 1986). He did M.Phill (DBMS, 1988) Ph.D (AI, 1992) and PDF (IISc/JNCSR, 1995), Bangalore, India. He did PGDCMP, CSI, 1985. He is working as Professor, Computer Science and Engineering in the same University. He joined as Assistant Professor in 1992, promoted as Associate Professor in 2001 and promoted as Professor in 2009 . He served Head, Department of CSE, MeRITS, Udayagiri on lien 2006-07. He served as Head of department, CSE , SVUCCE, Tirupati, during 2015-16. Currently he is Chairman, BOS since 2016. His research interests are fuzzy logic, Soft Computing Database systems and Artificial Intelligence. He is member in IEEE. He published nearly 50 publication in reputed International Journals like Elsevier and Reputed Conferences like FUZZ-IEEE and iFUZZY. He visited Taiwan. Hong Kong, Thailand, Malaysia, South Korea and Dubai.
FuzzMapReduceAL: Fuzzy MapReduce Algorithmic Language
Data mining is application area of big data and data science. Sometimes data mining has to deal with incomplete information. Bayesian theory needs exponential complexity to deal incomplete information. The fuzzy logic is suitable for incomplete information because it deal with belief rather than likelihood (Probability). Data mining has methods and classification. These methods and algorithms need MapReduce algorithms. The fuzzy MapReduce algorithmic language is needed to design the MapReduce algorithms. In this paper, fuzzy MapReduce algorithmic language is studied for Data Mining. The data mining methods and classifications are brought under FzzMapReduceAL. The fuzzy k-means algorithm is studied. The business intelligence is given as an example.