Sourav De - Advanced Data Mining Tools and Methods for Social Computing

Advanced Data Mining Tools and Methods for Social Computing

First edition

Sourav De

Computer Science & Engineering, Cooch Behar Government Engineering College, Cooch Behar, India

Sandip Dey

Department of Computer Science, Sukanta Mahavidyalaya, Jalpaiguri, India

Siddhartha Bhattacharyya

Rajnagar Mahavidyalaya, Birbhum, India

Surbhi Bhatia

College of Computer Sciences and Information Technology, King Faisal University, Riyadh, Saudi Arabia

Copyright

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Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary.

Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein. In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility.

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ISBN: 978-0-323-85708-6

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Dedication

Sourav De would like to dedicate this book to Satya Narayan De and Tapasi De, his loving wife Debolina Ghosh, his beloved son Aishik De, his sister Soumi De, and his in-laws.

Sandip Dey would like to dedicate this book to the memory of his father, Dhananjoy Dey, and to his mother Smt. Gita Dey, his wife Swagata Dey Sarkar, his children Sunishka and Shriaan, his siblings Kakali, Tanusree, and Sanjoy, his nephews Shreyash and Adrishaan, his brothers-in-law Chinmoy and Utpal, and his mother-in-law Smt. Manjushri Sarkar.

Siddhartha Bhattacharyya would like to dedicate this book to Late Nalini Bhusan Acharjee and Late Nirmala Acharjee, the parents-in-law of his elder sister.

Surbhi Bhatia would like to dedicate this book to her mother Smt Sushila, her beloved husband Mr. Sahil, and her daughter Inaya.

List of contributors

Ayan Banerjee Department of Computer Science and Engineering, Jalpaiguri Government Engineering College, Jalpiguri, India

Haider Banka Department of Computer Science and Engineering, IIT (ISM), Dhanbad, India

Surbhi Bhatia Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Al Hasa, Saudi Arabia

Sutapa Bhattacharya Siliguri Institute of Technology, Siliguri, India

Siddhartha Bhattacharyya Rajnagar Mahavidyalaya, Birbhum, India

Avinash Bhute Department of Information Technology Engineering, School of Computer Technology, MIT Academy of Engineering, Alandi, India

Rushikesh Borse Department of Electronics and Telecommunication, School of Electrical Engineering, MIT Academy of Engineering, Alandi, India

Tej Bahadur Chandra National Institute of Technology, Raipur, Chhattisgarh, India

Manisha Choudhary Department of Electronics and Telecommunication, School of Electrical Engineering, MIT Academy of Engineering, Alandi, India

Ajanta Das Amity Institute of Information Technology, Amity University, Kolkata, West Bengal, India

Sourav De Department of Computer Science & Engineering, Cooch Behar Government Engineering College, Cooch Behar, India

Sandip Dey Department of Computer Science, Sukanta Mahavidyalaya, Jalpaiguri, India

Paramartha Dutta Department of Computer and System Sciences, Visva Bharati University, Santiniketan, India

Anuj Kumar Dwivedi Govt. Vijay Bhushan Singh Deo Girls PG College, Jashpur Nagar, Chhattisgarh, India

Mousumi Halder Amity Institute of Information Technology, Amity University, Kolkata, West Bengal, India

Pooja Jain Department of Computer Engineering, Gokhle Education Societys, R.H. Sapat College of Engineering, Management Studies and Research, Nashik-5, India

Premananda Jana Netaji Subhas Open University, Kalyani, India

V. Kakulapati Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India

Harleen Kaur Department of Computer Science and Engineering, Jamia Hamdard, New Delhi, India

Dipak K. Kole Dept of CSE, Jalpaiguri Government Engineering College, Jalpaiguri, India

Monika Lokhande Department of Electronics and Telecommunication, School of Electrical Engineering, MIT Academy of Engineering, Alandi, India

Mihir Narayan Mohanty ITER (FET), Siksha O Anusandhan (Deemed to be University), Bhubaneswar, India

Mohan Debarchan Mohanty College of Engineering and Technology, Biju Pattnaik University of Technology, Bhubaneswar, India

Gaurav Mohindru Department of Computer Science and Engineering, IIT (ISM), Dhanbad, India

Koushik Mondal Computer Centre, IIT (ISM), Dhanbad, India

Rajendrani Mukherjee Department of Computer Science and Engineering, University of Engineering and Management, Kolkata, India

Soumen Kumar Pati Department of Bioinformatics, Maulana Abul Kalam Azad University, Kalyani, India

Poulomi Samanta Amity Institute of Information Technology, Amity University, Kolkata, India

Dhrubasish Sarkar Amity Institute of Information Technology, Amity University, Kolkata, India

Archana Vaidya Department of Computer Engineering, Gokhle Education Societys, R.H. Sapat College of Engineering, Management Studies and Research, Nashik-5, India

Preface

Sourav De; Sandip Dey; Siddhartha Bhattacharyya; Surbhi Bhatia

Social networks have received increased attention since the 2010s, and they turned into an extraordinary region of computer science that involves a combination of social behavior and computational systems. Different kinds of social networks have been developed, like Google+, Facebook, Twitter, scientific cooperation networks, and airport networks. Social networks deal with huge volumes of heterogeneous and unstructured data that are very tough to handle. Due to the increasing volume and popularity, social network data analysis has become one of the most promising and attractive research areas. Data mining techniques aim to obtain information by finding patterns/correlations among data patterns. These data are applied in different applications like business, training, online life, the medical field, agriculture, and so on. Data mining algorithms and tools are efficiently and effectively applied to handle social media data. This book present an overview of different novel and hybrid high-quality data mining methodologies, techniques, algorithms, architectures, tools, and methods to deal with issues related to social network data analysis.