Johnson P. Thomas

Artificial Intelligence · 2005–2015

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #11,391 of 35,345 by trust here, #13,962 by citations
• Computer Networks and Communications — 7 citations into it; #2,756 of 9,886 by trust here, #3,228 by citations
• Information Systems — 5 citations into it

Whom Johnson P. Thomas trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. William W. Cohen
2. J. Ross Quinlan
3. Andrew H. Sung
4. James Cannady

Who trusts Johnson P. Thomas overall

1. Sumaiya Thaseen Ikram
2. George S. Atsalakis
3. Monowar Hussain Bhuyan
4. Jonathan J. Davis
5. Raouf Boutaba
6. Ansam Khraisat

Papers from Johnson P. Thomas's perspective

Ordered by how strongly the researchers Johnson P. Thomas trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fast Effective Rule Induction
2. The Nature of Statistical Learning Theory
3. C4.5: Programs for Machine Learning
4. Learning to map between ontologies on the semantic web (The Web Conference)
5. Intrusion Detection with Neural Networks
6. Induction of decision trees
7. Similarity flooding: a versatile graph matching algorithm and its application to schema matching (Proceedings / International Conference on Data Engineering)
8. A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
9. Item-based collaborative filtering recommendation algorithms
10. A neural network component for an intrusion detection system

Their papers

• Real stock trading using soft computing models (2005) — 39 citations
• Cleaning Framework for Big Data - Object Identification and Linkage (2015) — 19 citations
• Modeling intrusion detection system using hybrid intelligent systems (2007) — 520 citations
• Feature deduction and ensemble design of intrusion detection systems (2005) — 704 citations