Cluster Based Prediction of Keyword Query Over Databases
In this paper, We using the cluster-based prediction, to predict the keywords over database in a efficient way. By using the cluster-based prediction, efficiency of searching query is improved and time complexity is reduced. İn this paper, we proposed Tex
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Suresh Chandra Satapathy Vikrant Bhateja K. Srujan Raju B. Janakiramaiah Editors
Computer Communication, Networking and Internet Security Proceedings of IC3T 2016
Lecture Notes in Networks and Systems Volume 5
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland e-mail: [email protected]
The series “Lecture Notes in Networks and Systems” publishes the latest developments in Networks and Systems—quickly, informally and with high quality. Original research reported in proceedings and post-proceedings represents the core of LNNS. Volumes published in LNNS embrace all aspects and subfields of, as well as new challenges in, Networks and Systems. The series contains proceedings and edited volumes in systems and networks, spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid dissemination of research output. The series covers the theory, applications, and perspectives on the state of the art and future developments relevant to systems and networks, decision making, control, complex processes and related areas, as embedded in the fields of interdisciplinary and applied sciences, engineering, computer science, physics, economics, social, and life sciences, as well as the paradigms and methodologies behind them. Advisory Board Fernando Gomide, Department of Computer Engineering and Automation—DCA, School of Electrical and Computer Engineering—FEEC, University of Campinas—UNICAMP, São Paulo, Brazil e-mail: [email protected] Okyay Kaynak, Department of Electrical and Electronic Engineering, Bogazici University, Istanbul, Turkey e-mail: [email protected] Derong Liu, Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, USA and Institute of Automation, Chinese Academy of Sciences, Beijing, China e-mail: [email protected] Systems Research Institute, Polish Academy of Sciences, Beijing, China e-mail: [email protected] Witold Pedrycz, Department of Electrical and Computer Engineering, University of Alberta, Alberta, Canada and Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland Marios M. Polycarpou, KIOS Research Center for Intelligent Systems and Networks, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus e-mail: [email protected] Imre J. Rudas, Óbuda University, Budapest Hungary e-mail: [email protected] Jun Wang, Department of Computer Science, City University of Hong Kong Kowloon, Hong Kong e-mail: [email protected]
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