Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Efficient Data Mining for Path Traversal Patterns
IEEE Transactions on Knowledge and Data Engineering
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Visualizing Sequential Patterns for Text Mining
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth
ICDE '01 Proceedings of the 17th International Conference on Data Engineering
Efficient mining of frequent episodes from complex sequences
Information Systems
Mining spectrum usage data: a large-scale spectrum measurement study
Proceedings of the 15th annual international conference on Mobile computing and networking
New approach for the sequential pattern mining of high-dimensional sequence databases
Decision Support Systems
Financial time series prediction in cooperating with event knowledge: a fuzzy approach
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
On-line rule matching for event prediction
The VLDB Journal — The International Journal on Very Large Data Bases
Temporal evolution and local patterns
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
Mining closed episodes from event sequences efficiently
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Algorithms to discover complete frequent episodes in sequences
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Discovering injective episodes with general partial orders
Data Mining and Knowledge Discovery
Discovering forward sequences from temporal data
Knowledge-Based Systems
Mining high utility episodes in complex event sequences
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Editorial: Pattern-growth based frequent serial episode discovery
Data & Knowledge Engineering
Frequent episode mining within the latest time windows over event streams
Applied Intelligence
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It is expected that stock prices can be affected by the local and overseas political and economic events. We extract events from the financial news of Chinese local newspapers which are available on the web, the news are matched against stock prices databases and a new method is proposed for the mining of frequent temporal patterns.