Data mining in finance: advances in relational and hybrid methods
Data mining in finance: advances in relational and hybrid methods
Mining the stock market (extended abstract): which measure is best?
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Finding motifs using random projections
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
SPADE: an efficient algorithm for mining frequent sequences
Machine Learning
MobiMine: monitoring the stock market from a PDA
ACM SIGKDD Explorations Newsletter
Neural Network Time Series Forecasting of Financial Markets
Neural Network Time Series Forecasting of Financial Markets
A Survey of Temporal Knowledge Discovery Paradigms and Methods
IEEE Transactions on Knowledge and Data Engineering
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth
Proceedings of the 17th International Conference on Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
On-Demand Forecasting of Stock Prices Using a Real-Time Predictor
IEEE Transactions on Knowledge and Data Engineering
Discovering Similar Multidimensional Trajectories
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
A symbolic representation of time series, with implications for streaming algorithms
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Probabilistic discovery of time series motifs
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Online event-driven subsequence matching over financial data streams
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Optimizing time series discretization for knowledge discovery
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
ACM SIGMOD Record
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Sequential Pattern Mining in Multiple Streams
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Pattern Discovery of Fuzzy Time Series for Financial Prediction
IEEE Transactions on Knowledge and Data Engineering
A generic motif discovery algorithm for sequential data
Bioinformatics
NewsCATS: A News Categorization and Trading System
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Making clustering in delay-vector space meaningful
Knowledge and Information Systems
First-order temporal pattern mining with regular expression constraints
Data & Knowledge Engineering
Efficient mining of understandable patterns from multivariate interval time series
Data Mining and Knowledge Discovery
Unsupervised pattern mining from symbolic temporal data
ACM SIGKDD Explorations Newsletter - Special issue on data mining for health informatics
Computational Intelligence in Economics and Finance: Volume II
Computational Intelligence in Economics and Finance: Volume II
Clustering sequences by overlap
International Journal of Data Mining and Bioinformatics
Discovering hybrid temporal patterns from sequences consisting of point- and interval-based events
Data & Knowledge Engineering
A review on time series data mining
Engineering Applications of Artificial Intelligence
Leadership discovery when data correlatively evolve
World Wide Web
A log-linear approach to mining significant graph-relational patterns
Data & Knowledge Engineering
Reliable representations for association rules
Data & Knowledge Engineering
Detecting leaders from correlated time series
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
Mining association rules from time series to explain failures in a hot-dip galvanizing steel line
Computers and Industrial Engineering
PMBC: Pattern mining from biological sequences with wildcard constraints
Computers in Biology and Medicine
Mining effective multi-segment sliding window for pathogen incidence rate prediction
Data & Knowledge Engineering
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Similarities among subsequences are typically regarded as categorical features of sequential data. We introduce an algorithm for capturing the relationships among similar, contiguous subsequences. Two time series are considered to be similar during a time interval if every contiguous subsequence of a predefined length satisfies the given similarity criterion. Our algorithm identifies patterns based on the similarity among sequences, captures the sequence-subsequence relationships among patterns in the form of a directed acyclic graph (DAG), and determines pattern conglomerates that allow the application of additional meta-analyses and mining algorithms. For example, our pattern conglomerates can be used to analyze time information that is lost in categorical representations. We apply our algorithm to stock market data as well as several other time series data sets and show the richness of our pattern conglomerates through qualitative and quantitative evaluations. An exemplary meta-analysis determines timing patterns representing relations between time series intervals and demonstrates the merit of pattern relationships as an extension of time series pattern mining.