Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Mining Motifs in Massive Time Series Databases
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
FACTS: An Approach to Unearth Legacy Contracts
WEC '04 Proceedings of the First IEEE International Workshop on Electronic Contracting
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Time Series Analysis and Its Applications (Springer Texts in Statistics)
Time Series Analysis and Its Applications (Springer Texts in Statistics)
Design, implementation, and evaluation of the linear road bnchmark on the stream processing core
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Frequent pattern mining: current status and future directions
Data Mining and Knowledge Discovery
Approximate NN queries on streams with guaranteed error/performance bounds
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Detecting distance-based outliers in streams of data
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Foundations and Trends in Databases
Data integration flows for business intelligence
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
CHAOS: A Data Stream Analysis Architecture for Enterprise Applications
CEC '09 Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing
Outlier detection with streaming dyadic decomposition
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Enhancing financial performance with social media: An impression management perspective
Decision Support Systems
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Enterprises are being swamped with data, and much of it is unstructured in origin. As these data volumes for unstructured data increase, there is a need to extract more value from them. For the purpose of gaining business insight, besides traditional text mining, we need capabilities to correlate unstructured data emanating from different sources. An important instance of this is the capability to correlate streaming unstructured web data with internal document data in near real time, which can give enterprises significant tremendous competitive advantage by enabling them to be aware of external events that can affect their business operations. This situational awareness gives business managers the opportunity to make informed operational decisions before it is too late. SIE-OBI is a platform being developed at HP Labs that responds to this need. In this paper, we describe SIE-OBI and illustrate its use via an application that provides awareness of events described in news articles that could affect the contracts of an enterprise. We present the main components of the platform architecture and illustrate their functionality to our contractual situational awareness scenario.