Principles of big graph : in-depth insight /: in-depth insight. (2023)
- Record Type:
- Book
- Title:
- Principles of big graph : in-depth insight /: in-depth insight. (2023)
- Main Title:
- Principles of big graph : in-depth insight
- Further Information:
- Note: Edited by Ripon Patgiri, Ganesh Chandra Deka, Anupam Biswas.
- Editors:
- Patgiri, Ripon
Deka, Ganesh Chandra, 1969-
Biswas, Anupam - Contents:
- Preface; Ripon Patgiri, Ganesh ChandraDeka and Anupam Biswas ; 1. CESDAM: Centered subgraph data matrix for large graph representation; Anupam Biswas and Bhaskar Biswas ; 2. Bivariate, cluster and suitability analysis of NoSQL Solutions for big graph applications; Samiya Khan, Xiufeng Liu, Syed Arshad Ali and Mansaf Alam; 3. An empirical investigation on BigGraph using deep learning; Lilapati Waikhom and Ripon Patgiri ; 4. Analyzing correlation between quality and accuracy of graph clustering; Soumita Das and Anupam Biswas ; 5. geneBF: Filtering protein-coded gene graph data using bloom filter; Sabuzima Nayak and Ripon Patgiri ; 6. Processing large graphs with an alternative representation; Ravi Kishore Devarapalli and Anupam Biswas ; 7. MapReduce based convolutional graph neural networks: A comprehensive review; U. Kartheek Chandra Patnaik and Ripon Patgiri ; 8. Fast exact triangle counting in large graphs using SIMD acceleration; Kaushik Ravichandran, Akshara Subramaniasivam, Aishwarya PS and Kumar NS ; 9. A comprehensive investigation on attack graphs; M Franckie Singha and Ripon Patgiri ; 10. Qubit representation of a binary tree and its operations in quantum computation; Arnab Roy, Joseph L Pachuau and Anish Kumar Saha; 11. Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph data; Saurabh Kumar Srivastava, Ankit Vidyarthi and Sandeep Kumar Singh ; 12. Big graph based onlinePreface; Ripon Patgiri, Ganesh ChandraDeka and Anupam Biswas ; 1. CESDAM: Centered subgraph data matrix for large graph representation; Anupam Biswas and Bhaskar Biswas ; 2. Bivariate, cluster and suitability analysis of NoSQL Solutions for big graph applications; Samiya Khan, Xiufeng Liu, Syed Arshad Ali and Mansaf Alam; 3. An empirical investigation on BigGraph using deep learning; Lilapati Waikhom and Ripon Patgiri ; 4. Analyzing correlation between quality and accuracy of graph clustering; Soumita Das and Anupam Biswas ; 5. geneBF: Filtering protein-coded gene graph data using bloom filter; Sabuzima Nayak and Ripon Patgiri ; 6. Processing large graphs with an alternative representation; Ravi Kishore Devarapalli and Anupam Biswas ; 7. MapReduce based convolutional graph neural networks: A comprehensive review; U. Kartheek Chandra Patnaik and Ripon Patgiri ; 8. Fast exact triangle counting in large graphs using SIMD acceleration; Kaushik Ravichandran, Akshara Subramaniasivam, Aishwarya PS and Kumar NS ; 9. A comprehensive investigation on attack graphs; M Franckie Singha and Ripon Patgiri ; 10. Qubit representation of a binary tree and its operations in quantum computation; Arnab Roy, Joseph L Pachuau and Anish Kumar Saha; 11. Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph data; Saurabh Kumar Srivastava, Ankit Vidyarthi and Sandeep Kumar Singh ; 12. Big graph based online learning through social networks; Rahul Chandra Kushwaha; 13. Community detection in large-scale real-world networks; Dhananjay Kumar Singh and Prasenjit Choudhury ; 14. Power rank: An interactive web page ranking algorithm; Ankit Vidyarthi and Pawan Singh ; 15. GA based energy efficient modelling of a wireless sensor network; Anish Kumar Saha, Joseph L Pachuau, Arnab Roy and C. T. Bhunia ; 16. The major challenges of big graph and their solutions: A review; Fitsum Gebreegziabher and Ripon Patgiri ; 17. An investigation on socio-cyber crime graph; V S NageswaraRao Kadiyala and Ripon Patgiri … (more)
- Publisher Details:
- Amsterdam : Academic Press
- Publication Date:
- 2023
- Extent:
- 1 online resource (310 pages)
- Subjects:
- 005.74
Graph databases
Graph algorithms - Languages:
- English
- ISBNs:
- 9780323898119
- Related ISBNs:
- 9780323898102
- Notes:
- Note: Description based on CIP data; resource not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.754033
- Ingest File:
- 18_038.xml