Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in expert systems: theory and algorithms
Probabilistic reasoning in expert systems: theory and algorithms
C4.5: programs for machine learning
C4.5: programs for machine learning
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Making large-scale support vector machine learning practical
Advances in kernel methods
Transversing itemset lattices with statistical metric pruning
PODS '00 Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Principles of data mining
Inductive logic programming for knowedge discovery in databases
Relational Data Mining
Learning Bayesian networks from data: an information-theory based approach
Artificial Intelligence
Computing Optimal Hypotheses Efficiently for Boosting
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Comparing Bayesian network classifiers
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Scaling Boosting by Margin-Based Inclusionof Features and Relations
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Combining data and text mining techniques for yeast gene regulation prediction: a case study
ACM SIGKDD Explorations Newsletter
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Biological applications of multi-relational data mining
ACM SIGKDD Explorations Newsletter
Short communication: A new relational learning system using novel rule selection strategies
Knowledge-Based Systems
Towards scalable and data efficient learning of Markov boundaries
International Journal of Approximate Reasoning
An integrated approach to feature invention and model construction for drug activity prediction
Proceedings of the 24th international conference on Machine learning
Boosting Descriptive ILP for Predictive Learning in Bioinformatics
Inductive Logic Programming
A Novel Scalable and Data Efficient Feature Subset Selection Algorithm
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Incremental Bayesian Network Learning for Scalable Feature Selection
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
DRILA: a distributed relational inductive learning algorithm
WSEAS Transactions on Computers
A self-learning expert system for diagnosis in traditional Chinese medicine
Expert Systems with Applications: An International Journal
Bayesian Network Structure Learning by Recursive Autonomy Identification
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Basic principles of learning Bayesian logic programs
Probabilistic inductive logic programming
Probabilistic and analytical estimation of software development team size
International Journal of Hybrid Intelligent Systems
Bayesian variable selection for binary response models and direct marketing forecasting
Expert Systems with Applications: An International Journal
An efficient and scalable algorithm for local Bayesian network structure discovery
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
ProGolem: a system based on relative minimal generalisation
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
A quantitative diagnostic method based on bayesian networks in traditional chinese medicine
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Robust feature selection by mutual information distributions
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
ICICS'11 Proceedings of the 13th international conference on Information and communications security
Predictive model for protein function using modular neural approach
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Fisher kernels for relational data
ECML'06 Proceedings of the 17th European conference on Machine Learning
CLP(BN): constraint logic programming for probabilistic knowledge
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Scalable, efficient and correct learning of markov boundaries under the faithfulness assumption
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Improving mining quality by exploiting data dependency
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Science at the speed of thought
Ambient Intelligence for Scientific Discovery
Evaluation on multivariate correlation analysis based denial-of-service attack detection system
Proceedings of the First International Conference on Security of Internet of Things
| Hi-index | 0.00 |
This paper presents results and lessons from KDD Cup 2001. KDD Cup 2001 focused on mining biological databases. It involved three cutting-edge tasks related to drug design and genomics.