Perspective of DNA Computing in Computer Science

Perspective of DNA Computing in Computer Science

Hurson, Ali R.

135,20 €(IVA inc.)

ADCOM: Perspective of DNA Computing in Computer Science, Vol 129, the latest release in the Advances in Computers series, presents innovations in computer hardware, software, theory, design and applications. Contains novel subject matter that is relevant to computer science Includes the expertise of contributing authors Presents an easy to comprehend writing style INDICE: 1. CESDAM: Centered Subgraph Data Matrix for Large Graph Representation 2. Bivariate, Cluster and Suitability Analysis of NoSQL Solutions for Big Graph Applications 3. An Empirical Investigation on Big Graph using Deep Learning 4. Analyzing Correlation between Quality and Accuracy of Graph Clustering 5. geneBF: Filtering Protein-coded Gene Graph Data using Bloom Filter 6. Processing Large Graphs with an Alternative Representation 7. MapReduce based Convolutional Graph Neural Networks: A Comprehensive Review 8. Fast exact triangle counting in large graphs using SIMD acceleration 9. A Comprehensive Investigation on Attack Graphs 10. Qubit Representation of a Binary Tree and its Operations in Quantum Computation 11. Modified ML-KNN: Role of Similarity Measures and Nearest Neighbour Configuration in Multi Label Text Classification on Big Social Network Graph Data 12. Big Graph based Online Learning Through Social Networks 13. Community detection in large-scale real-world networks 14. Power Rank - An Interactive Web Page Ranking Algorithm 15. GA based Energy Efficient Modelling of a Wireless Sensor Network 16. The major challenges of Big Graph and their solutions: A Review 17. An Investigation on Socio-Cyber Crime Graph

  • ISBN: 978-0-323-85546-4
  • Editorial: Academic Press
  • Encuadernacion: Cartoné
  • Páginas: 310
  • Fecha Publicación: 01/03/2023
  • Nº Volúmenes: 1
  • Idioma: Inglés