Data, Engineering and Applications by Rajesh Kumar Shukla
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Data, Engineering and Applications

Data, Engineering and Applications


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About the Book

Section 1: Data Mining and Social Networking S No Title Authors Affiliation 1 A review of Recommender System and related Dimensions Taushif Anwar Research Scholar, Department of Computer Science, Pondicherry University, Puducherry, India taushif21589@gmail.com, umabskr@gmail.com Dr. V Uma Assistant Professor, Department of Computer Science, Pondicherry University, Puducherry, India, 2 Collaborative Filtering Techniques in Recommendation Systems sabdeep raghuwanshi, pateriya r k Computer Science & Engineering, Maulana Azad national Institute Bhopal M.P. sraghuwanshi@gmail.com, pateriyark@gmail.com 3 Predicting Users' Interest through ELM basedCollaborative Filtering ShwetaTyagi, Pratibha Yadav and PoojaVashisth Shyama Prasad Mukherji College, University of Delhi, India shwetakaushik2006@gmail.com, pratibha89yadav@gmail.com, poojamohitvashisth@gmail.com 4 Application of Community Detection Technique in Text Mining Mr. Shashank Dubey

Research Scholar
Information Technology, Mahakal Institute of Technology
Ujjain, India
Mahakal Institute of Technology Ujjain, India shashankdubey9@gmail.com, abhi.tiwari23@gmail.com, jitendra@rgtu.net

Prof. Abhishek Tiwari Assistant Professor
Information Technology, Mahakal Institute of Technology
Ujjain, India
Dr. Jitendra Agrawal Associate Professor
Computer Science and Engineering, Rajiv Gandhi Proudyogiki Vishwavidyalaya
Bhopal, India
5 K-Means Clustering based Disease Detection in Plants using SVM based Features Classification Anupma Mishra, Nishchol Mishra School of IT RGPV Bhopal India mishraanu.nov@gmail.com, nishchol@rgtu.net 6 A Performance Evaluation of Density-Based Clustering Methods for Categorizing Web Robots Sessions Dilip Singh Sisodia, Namrata Verma National Institute of Technology Raipur, India dssisodia.cs@nitrr.ac.in, namrataverma3090@gmail.com 7 Performance of Unsupervised Learning Methods for Clustering of Web Robots Sessions Dilip Singh Sisodia, Radhika Khandelwal, Arti Anuragi National Institute of Technology Raipur, India dssisodia.cs@nitrr.ac.in, rads470@gmail.com, arti.anuragi@gmail.com 8 Comparative Performance of Clustering Algorithms for Document Clustering Dilip Singh Sisodia, Akansha Verma National Institute of Technology Raipur, India dssisodia.cs@nitrr.ac.in, 95akankshaverma@gmail.com 9 A Framework for Preprocessing and Feature Extraction from Weblogs for Identification of HTTP Flood Request Attacks Dilip Singh Sisodia, Namrata Verma National Institute of Technology Raipur, India dssisodia.cs@nitrr.ac.in, namrataverma3090@gmail.com 10 A Novel Technique for Fingerprint Recognition Using Association Rule Mining Ashish Mishra, priti maheshwary AISECT University Bhopal, M.P ashish.mish2009@gmail.com, pritimaheshwary@rediffmail.com
11 Sentiment Analysis on WhatsApp Group Chat using R Sunil Joshi Department of Computer Applications
Samrat Ashok Technological Institute
Vidisha (M.P.), India sunil.joshi05@gmail.com 12 A Recent Survey on Information Hiding Techniques Jayant Shukla, Madhu Shandilya Department of ECE, MANIT, Bhopal jayantshukla81@gmail.com, madhushandilya@manit.ac.in 13 A New Approach for Genome Sequence Matching using HCLBLAST Prashant Rai1, Praneet Sauabh2, Bhupendra Verma3 Department of Computer Science and Engineering, Technocrats Institute of Technology, Bhopal pr
About the Author: Dr Rajesh K Shukla is a Professor and Head of the Department of Computer Science and Engineering, SIRT, Bhopal, India. With more than 20 years of teaching and research experience he has authored 8 books and has published/presented has more than 40 papers in international journals and conferences. Dr Shukla received an ISTE U.P. Government National Award in 2015 and various prestigious awards from the Computer Society of India. His research interests include recommendation systems and machine learning. He is fellow of IETE, a senior member of IEEE, a life member of ISTE, ISCA, and a member of ACM and IE(I).
Dr Jitendra Agrawal is a member of the faculty at the Department of Computer Science & Engineering, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. His research interests include data mining and computational intelligence. He has authored 02 books and published more than 60 papers in international journals and conferences. Dr Agrawal is a senior member of IEEE, life member of CSI, ISTE and member of IAENG. He has served as part of the program committees for several international conferences organised in countries such as the USA, India, New Zealand, Korea, Indonesia and Thailand.
Dr Sanjeev Sharma is a Professor and Head of the School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, MP, India. He has over 29 years of teaching and research experience and received the World Education Congress Best Teacher Award in Information Technology. His research interests include mobile computing, ad-hoc networks, image processing and information security. He has edited proceedings of several national and international conferences and published more than 150 research papers in reputed journals. He is a member of IEEE, CSI, ISTE and IAENG. Dr G S Tomer is the Director of THDC Institute of Hydropower Engineering and Technology (Government of Uttarakhand), Tehri, India. He received the International Plato award for Educational Achievements in 2009. He completed his doctorate in Electronics Engineering from RGPV Bhopal and postdoctorate from the University of Kent, United Kingdom. Dr Tomar has more than 30 years of teaching and research experience and has published over 200 research papers in reputed journals, as well as 11 books and 7 book chapters. He is a senior member of IEEE, ACM and IACSIT, a fellow of IETE and IE(I), and a member of CSI and ISTE. He has also edited the proceedings of more than 20 IEEE conferences and has been the general chair of over 30 Conferences.


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Product Details
  • ISBN-13: 9789811363498
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 191
  • Spine Width: 11 mm
  • Weight: 335 gr
  • ISBN-10: 9811363498
  • Publisher Date: 30 Oct 2020
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Volume 1
  • Width: 156 mm


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