A database perspective on knowledge discovery
Communications of the ACM
Efficient enumeration of frequent sequences
Proceedings of the seventh international conference on Information and knowledge management
Event detection from time series data
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Spatial join selectivity using power laws
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Sequence mining in categorical domains: incorporating constraints
Proceedings of the ninth international conference on Information and knowledge management
PlanMine: Predicting Plan Failures Using Sequence Mining
Artificial Intelligence Review - Issues on the application of data mining
Currency exchange rate forecasting from news headlines
ADC '02 Proceedings of the 13th Australasian database conference - Volume 5
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
SPADE: An Efficient Algorithm for Mining Frequent Sequences
Machine Learning
Mining Sequential Patterns with Regular Expression Constraints
IEEE Transactions on Knowledge and Data Engineering
Pincer-Search: An Efficient Algorithm for Discovering the Maximum Frequent Set
IEEE Transactions on Knowledge and Data Engineering
Distributed mining of classification rules
Knowledge and Information Systems
Machines that learn to play games
Facing Fault Management as It Is, Aiming for What You Would Like It to Be
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
Data Mining: Machine Learning, Statistics, and Databases
SSDBM '96 Proceedings of the Eighth International Conference on Scientific and Statistical Database Management
Sequence Mining in Categorical Domains: Algorithms and Applications
Sequence Learning - Paradigms, Algorithms, and Applications
Decision Trees for Multiple Abstraction Levels of Data
CIA '01 Proceedings of the 5th International Workshop on Cooperative Information Agents V
Parallel Sequence Mining on Shared-Memory Machines
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
Mining Sequential Alarm Patterns in a Telecommunication Database
DBTel '01 Proceedings of the VLDB 2001 International Workshop on Databases in Telecommunications II
Handbook of data mining and knowledge discovery
Industry: predicting telecommunication equipment failures from sequences of network alarms
Handbook of data mining and knowledge discovery
Fundamenta Informaticae - Special issue on the 9th international conference on rough sets, fuzzy sets, data mining and granular computing (RSFDGrC 2003)
A trie-based APRIORI implementation for mining frequent item sequences
Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
A fuzzy data mining algorithm for incremental mining of quantitative sequential patterns
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Analysis of Alarm Sequences in a Chemical Plant
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
A Tree-Based Approach for Event Prediction Using Episode Rules over Event Streams
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Mining problem-solving strategies from HCI data
ACM Transactions on Computer-Human Interaction (TOCHI)
Finding event-oriented patterns in long temporal sequences
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Intelligent agents for real time data mining in telecommunications networks
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
Imprecise causality in mined rules
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Information Sciences: an International Journal
Real-time classification of IDS alerts with data mining techniques
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Preprocessing expert system for mining association rules in telecommunication networks
Expert Systems with Applications: An International Journal
New approach for the sequential pattern mining of high-dimensional sequence databases
Decision Support Systems
Managing power conservation in wireless networks
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
On-line rule matching for event prediction
The VLDB Journal — The International Journal on Very Large Data Bases
Learning actions in complex software systems
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
Remarks on the industrial application of inductive database technologies
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Annals of Mathematics and Artificial Intelligence
Discovering injective episodes with general partial orders
Data Mining and Knowledge Discovery
Fundamenta Informaticae - The 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Conputing (RSFDGrC 2003)
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A telecommunication network produces daily large amounts of alarm data. The data contains hidden valuable knowledge about the behavior of the network. This knowledge can be used in filtering redundant alarms, locating problems in, the network, and possibly in predicting severe faults. We describe the TASA (Telecommunication Network Alarm Sequence Analyzer) system for discovering and browsing knowledge from large alarm databases. The system is built on the basis of viewing knowledge discovery as an interactive and iterative process, containing data collection, pattern discovery, rule postprocessing, etc. The system uses a novel framework for locating frequently occurring episodes from sequential data. The TASA system offers a variety of selection and ordering criteria for episodes, and supports iterative retrieval from the discovered knowledge. This means that a large part of the iterative nature of the KDD process can be replaced by iteration in the rule postprocessing stage. The user interface is based on dynamically generated HTML. The system is in experimental use, and the results are encouraging: some of the discovered knowledge is being integrated into the alarm handling software of telecommunication operators.