An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
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
A framework for projected clustering of high dimensional data streams
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
Outlier detection with streaming dyadic decomposition
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
SIE-OBI: a streaming information extraction platform for operational business intelligence
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Toward total business intelligence incorporating structured and unstructured data
Proceedings of the 2nd International Workshop on Business intelligencE and the WEB
Live business intelligence for the real-time enterprise
From active data management to event-based systems and more
Frequent pattern mining from time-fading streams of uncertain data
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
Information extraction, real-time processing and DW2.0 in operational business intelligence
DNIS'10 Proceedings of the 6th international conference on Databases in Networked Information Systems
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The capability of correlating streaming web data with internal data in near real time gives enterprises a 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 present an application of SIE-OBI to provide awareness of world events that could affect contractual relationships. We present the main components of the platform architecture and illustrate their functionality in the contractual situational awareness scenario.