Christopher Leckie

Artificial Intelligence · 2005

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Networks and Communications — 7 citations into it

Whom Christopher Leckie trusts overall

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

1. Eleazar Eskin
2. Rakesh Agrawal
3. Rayadurgam Srikant
4. Fabio A. González
5. Caleb C. Noble
6. Jiawei Han
7. Martin Ester
8. Mei-Ling Shyu
9. Aleksandar Lazarevic
10. Diane Joyce Cook

Who trusts Christopher Leckie overall

1. Jiong Zhang
2. Anna L. Buczak
3. Markus Goldstein
4. Mohiuddin Ahmed
5. Mohammad Zulkernine
6. Muhammad Usama
7. Erhan Guven
8. Seiichi Uchida

Papers from Christopher Leckie's perspective

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

1. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
2. Fast Algorithms for Mining Association Rules
3. A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
4. Anomaly Detection over Noisy Data using Learned Probability Distributions (International Conference on Machine Learning)
5. Mining frequent patterns without candidate generation
6. Anomaly Detection Using Real-Valued Negative Selection (Genetic Programming and Evolvable Machines)
7. A GEOMETRIC FRAMEWORK FOR UNSUPERVISED ANOMALY DETECTION: DETECTING INTRUSIONS IN UNLABELED DATA
8. Graph-based anomaly detection (Knowledge Discovery and Data Mining)
9. A Novel Anomaly Detection Scheme Based on Principal Component Classifier
10. Fast Algorithms for Mining Association Rules in Large Databases

Their papers

• Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters (2005) — 428 citations