Recursive estimation and time-series analysis: an introduction
Recursive estimation and time-series analysis: an introduction
Learning decision lists using homogeneous rules
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Scaling up inductive learning with massive parallelism
Machine Learning
Inductive logic programming and knowledge discovery in databases
Advances in knowledge discovery and data mining
An introduction to intrusion detection
Crossroads - Special issue on computer security
Constructing Bayesian Networks to Predict Uncollectible Telecommunications Accounts
IEEE Expert: Intelligent Systems and Their Applications
Learning Logical Definitions from Relations
Machine Learning
OPUS: an efficient admissible algorithm for unordered search
Journal of Artificial Intelligence Research
Guest Editors‘ Introduction: On Applied Research in MachineLearning
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
The NASD regulation advanced detection system (ADS)
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Activity monitoring: noticing interesting changes in behavior
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining in a data-flow environment: experience in network intrusion detection
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A classification-based methodology for planning audit strategies in fraud detection
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Information mining platforms: an infrastructure for KDD rapid deployment
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Discovery of fraud rules for telecommunications—challenges and solutions
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
LOF: identifying density-based local outliers
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Hancock: a language for extracting signatures from data streams
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Explicitly representing expected cost: an alternative to ROC representation
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Robust Classification for Imprecise Environments
Machine Learning
Adaptive Intrusion Detection: A Data Mining Approach
Artificial Intelligence Review - Issues on the application of data mining
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Emerging scientific applications in data mining
Communications of the ACM - Evolving data mining into solutions for insights
A Survey of Methods for Scaling Up Inductive Algorithms
Data Mining and Knowledge Discovery
Expert-Driven Validation of Rule-Based User Models in Personalization Applications
Data Mining and Knowledge Discovery
Signature-Based Methods for Data Streams
Data Mining and Knowledge Discovery
Machines that learn to play games
Machine Learning for Sequential Data: A Review
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Using Data Mining Techniques in Fiscal Fraud Detection
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Outlier Detection Using Replicator Neural Networks
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Enhancing Effectiveness of Outlier Detections for Low Density Patterns
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
The Divide-and-Conquer Manifesto
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Detecting Interesting Instances
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Experiences with a Logic-Based Knowledge Discovery Support Environment
AI*IA '99 Proceedings of the 6th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
A Recognition-Based Alternative to Discrimination-Based Multi-layer Perceptrons
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Mining intrusion detection alarms for actionable knowledge
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining newsgroups using networks arising from social behavior
WWW '03 Proceedings of the 12th international conference on World Wide Web
Data mining tasks and methods: scalability
Handbook of data mining and knowledge discovery
Task and method selection: selection of tasks
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
Industry: adaptive fraud detection
Handbook of data mining and knowledge discovery
Detecting fraud in the real world
Handbook of massive data sets
Improved Rooftop Detection in Aerial Images with Machine Learning
Machine Learning
Clustering intrusion detection alarms to support root cause analysis
ACM Transactions on Information and System Security (TISSEC)
Integrating Customer Value Considerations into Predictive Modeling
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Information awareness: a prospective technical assessment
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
A data mining approach for database intrusion detection
Proceedings of the 2004 ACM symposium on Applied computing
Hancock: A language for analyzing transactional data streams
ACM Transactions on Programming Languages and Systems (TOPLAS)
Semantic video classification and feature subset selection under context and concept uncertainty
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Class imbalances versus small disjuncts
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Minority report in fraud detection: classification of skewed data
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Feature selection for text categorization on imbalanced data
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Classification and knowledge discovery in protein databases
Journal of Biomedical Informatics - Special issue: Biomedical machine learning
DM-AMS: employing data mining techniques for alert management
dg.o '05 Proceedings of the 2005 national conference on Digital government research
Detection and prediction of distance-based outliers
Proceedings of the 2005 ACM symposium on Applied computing
Applying both positive and negative selection to supervised learning for anomaly detection
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
KBA: Kernel Boundary Alignment Considering Imbalanced Data Distribution
IEEE Transactions on Knowledge and Data Engineering
Using relational knowledge discovery to prevent securities fraud
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
The class imbalance problem in learning classifier systems: a preliminary study
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Distance-Based Detection and Prediction of Outliers
IEEE Transactions on Knowledge and Data Engineering
Applications of machine learning: matching problems to tasks and methods
The Knowledge Engineering Review
Online decoding of Markov models under latency constraints
ICML '06 Proceedings of the 23rd international conference on Machine learning
Event sequence mining to develop profiles for computer forensic investigation purposes
ACSW Frontiers '06 Proceedings of the 2006 Australasian workshops on Grid computing and e-research - Volume 54
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
ROC graphs with instance-varying costs
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
The Journal of Machine Learning Research
New Algorithms for Efficient High-Dimensional Nonparametric Classification
The Journal of Machine Learning Research
Relational Dependency Networks
The Journal of Machine Learning Research
Classification in Networked Data: A Toolkit and a Univariate Case Study
The Journal of Machine Learning Research
Employing Latent Dirichlet Allocation for fraud detection in telecommunications
Pattern Recognition Letters
Cost-sensitive boosting for classification of imbalanced data
Pattern Recognition
Using Spatial Analysis for Monitoring Fraud in a Public Delivery Program
Social Science Computer Review
The class imbalance problem: A systematic study
Intelligent Data Analysis
Outlier detection by logic programming
ACM Transactions on Computational Logic (TOCL)
A weighted rough set based method developed for class imbalance learning
Information Sciences: an International Journal
Anomaly detection algorithms in logs of process aware systems
Proceedings of the 2008 ACM symposium on Applied computing
Hierarchical Hidden Markov Models for User/Process Profile Learning
Fundamenta Informaticae - Special issue ISMIS'05
AdaBoost with SVM-based component classifiers
Engineering Applications of Artificial Intelligence
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Ontology-Based Fraud Detection
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Using Intuitionistic Fuzzy Sets in Text Categorization
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Online Outlier Detection Based on Relative Neighbourhood Dissimilarity
WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering
A comparative study on rough set based class imbalance learning
Knowledge-Based Systems
Local reweight wrapper for the problem of imbalance
International Journal of Artificial Intelligence and Soft Computing
Framework for formal implementation of the business understanding phase of data mining projects
Expert Systems with Applications: An International Journal
Handling imbalanced data sets with a modification of Decorate algorithm
International Journal of Computer Applications in Technology
Transaction aggregation as a strategy for credit card fraud detection
Data Mining and Knowledge Discovery
An Application of Decision Trees for Rule Extraction Towards Telecommunications Fraud Detection
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Expert Systems with Applications: An International Journal
Projected outlier detection in high-dimensional mixed-attributes data set
Expert Systems with Applications: An International Journal
On the use of surrounding neighbors for synthetic over-sampling of the minority class
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
Error analysis in artificial neural networks: the imbalanced distribution case
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
International Journal of Approximate Reasoning
Expert Systems with Applications: An International Journal
A constraint-guided method with evolutionary algorithms for economic problems
Applied Soft Computing
Information Security Tech. Report
Designing an expert system for fraud detection in private telecommunications networks
Expert Systems with Applications: An International Journal
SNARE: a link analytic system for graph labeling and risk detection
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Cost-Based Sampling of Individual Instances
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
Use of Ensemble Based on GA for Imbalance Problem
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Imbalanced Training Set Reduction and Feature Selection Through Genetic Optimization
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Visual explanation of evidence in additive classifiers
IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
Robust support vector machine training via convex outlier ablation
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Handling Class Imbalance Problems via Weighted BP Algorithm
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Event-based applications and enabling technologies
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Learning when training data are costly: the effect of class distribution on tree induction
Journal of Artificial Intelligence Research
Integrating learning from examples into the search for diagnostic policies
Journal of Artificial Intelligence Research
Debt Detection in Social Security by Adaptive Sequence Classification
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Handling class imbalance problem in cultural modeling
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Improving the performance of fuzzy clustering algorithms through outlier identification
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Splash: ad-hoc querying of data and statistical models
Proceedings of the 13th International Conference on Extending Database Technology
The class imbalance problem in UCS classifier system: a preliminary study
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Weighted rough set learning: towards a subjective approach
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
A Bayesian biosurveillance method that models unknown outbreak diseases
BioSurveillance'07 Proceedings of the 2nd NSF conference on Intelligence and security informatics: BioSurveillance
Resource-bounded fraud detection
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Mining Outliers in Correlated Subspaces for High Dimensional Data Sets
Fundamenta Informaticae - Intelligent Data Analysis in Granular Computing
Fraud detection in process aware systems
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Computationally efficient scoring of activity using demographics and connectivity of entities
Information Technology and Management
MFP: a mechanism for determining associated patterns of stock
Proceedings of the 7th International Conference on Frontiers of Information Technology
On detecting clustered anomalies using SCiForest
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Using regression analysis to identify patterns of non-technical losses on power utilities
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
A data mining framework for detecting subscription fraud in telecommunication
Engineering Applications of Artificial Intelligence
IEEE Transactions on Evolutionary Computation
Biometric keypads: Improving accuracy through optimal PIN selection
Decision Support Systems
Classifier evaluation and attribute selection against active adversaries
Data Mining and Knowledge Discovery
Exploring the performance of resampling strategies for the class imbalance problem
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Social Network Analysis and Mining for Business Applications
ACM Transactions on Intelligent Systems and Technology (TIST)
A dynamic over-sampling procedure based on sensitivity for multi-class problems
Pattern Recognition
International Journal of Innovative Computing and Applications
Activity sequence modelling and dynamic clustering for personalized e-learning
User Modeling and User-Adapted Interaction
SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization
An empirical analysis of under-sampling techniques to balance a protein structural class dataset
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Combining integrated sampling with SVM ensembles for learning from imbalanced datasets
Information Processing and Management: an International Journal
Detecting fraud in online games of chance and lotteries
Expert Systems with Applications: An International Journal
Classifying severely imbalanced data
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
Classification of high dimensional and imbalanced hyperspectral imagery data
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Improving k nearest neighbor with exemplar generalization for imbalanced classification
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Leveraging Network Properties for Trust Evaluation in Multi-agent Systems
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Dynamic classifier ensemble model for customer classification with imbalanced class distribution
Expert Systems with Applications: An International Journal
Testing the fraud detection ability of different user profiles by means of FF-NN classifiers
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Estimating accuracy of mobile-masquerader detection using worst-case and best-case scenario
ICICS'06 Proceedings of the 8th international conference on Information and Communications Security
Boosting prediction accuracy on imbalanced datasets with SVM ensembles
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
A probabilistic approach to fraud detection in telecommunications
Knowledge-Based Systems
Parallel perceptrons, activation margins and imbalanced training set pruning
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Severe class imbalance: why better algorithms aren't the answer
ECML'05 Proceedings of the 16th European conference on Machine Learning
Expert Systems with Applications: An International Journal
Parameter inference of cost-sensitive boosting algorithms
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Establishing fraud detection patterns based on signatures
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
EUS SVMs: ensemble of under-sampled SVMs for data imbalance problems
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Training classifiers for unbalanced distribution and cost-sensitive domains with ROC analysis
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
Genetic programming for classification with unbalanced data
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
A novel synthetic minority oversampling technique for imbalanced data set learning
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Combined effects of class imbalance and class overlap on instance-based classification
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Preprocessing unbalanced data using support vector machine
Decision Support Systems
Expert Systems with Applications: An International Journal
Investigative behavior profiling with one class SVM for computer forensics
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
Learning SVM with weighted maximum margin criterion for classification of imbalanced data
Mathematical and Computer Modelling: An International Journal
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Performance of classification models from a user perspective
Decision Support Systems
A survey on fraud and service misuse in voice over IP (VoIP) networks
Information Security Tech. Report
Computer Methods and Programs in Biomedicine
Design principles of massive, robust prediction systems
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Hierarchical Hidden Markov Models for User/Process Profile Learning
Fundamenta Informaticae - Special issue ISMIS'05
Review: Supervised classification and mathematical optimization
Computers and Operations Research
Fraud detection in web transactions
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Methodology for fraud detection in electronic transactions
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Machine Learning Methods For Detecting Patterns Of Management Fraud
Computational Intelligence
Pattern Recognition Letters
Competence region modelling in relational classification
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
Mining multidimensional contextual outliers from categorical relational data
Proceedings of the 25th International Conference on Scientific and Statistical Database Management
Using social network knowledge for detecting spider constructions in social security fraud
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
The Journal of Machine Learning Research
A combined mining-based framework for predicting telecommunications customer payment behaviors
Expert Systems with Applications: An International Journal
Early security classification of skype users via machine learning
Proceedings of the 2013 ACM workshop on Artificial intelligence and security
Risk analysis of electronic transactions in tourism web applications
Proceedings of the 19th Brazilian symposium on Multimedia and the web
From devices to people: attribution of search activity in multi-user settings
Proceedings of the 23rd international conference on World wide web
Robust classification of imbalanced data using one-class and two-class SVM-based multiclassifiers
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
Evaluation of a new hybrid algorithm for highly imbalanced classification problems
International Journal of Hybrid Intelligent Systems
An SVM-based high-quality article classifier for systematic reviews
Journal of Biomedical Informatics
Explaining data-driven document classifications
MIS Quarterly
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One method for detecting fraud is to check for suspicious changes inuser behavior. This paper describes the automatic design of userprofiling methods for the purpose of fraud detection, using a seriesof data mining techniques. Specifically, we use a rule-learningprogram to uncover indicators of fraudulent behavior from a largedatabase of customer transactions. Then the indicators are used tocreate a set of monitors, which profile legitimate customer behaviorand indicate anomalies. Finally, the outputs of the monitors are usedas features in a system that learns to combine evidence to generatehigh-confidence alarms. The system has been applied to the problem ofdetecting cellular cloning fraud based on a database of callrecords. Experiments indicate that this automatic approach performsbetter than hand-crafted methods for detecting fraud. Furthermore,this approach can adapt to the changing conditions typical of frauddetection environments.