References of "Schommer, Christoph 50003041"
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See detailSANA - Security Analysis in Internet Traffic through Artificial Immune Systems
Hilker, Michael UL; Schommer, Christoph UL

in Technical Documentary Report. United States. Air Force. Systems Command. Electronic Systems Division (2006)

Detailed reference viewed: 53 (3 UL)
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See detailDescription of bad-signatures for Network Intrusion Detection
Hilker, Michael UL; Schommer, Christoph UL

in Proceedings of the 4th. Australasian Information Security Workshop (AISW-NetSec 2006) (2006)

Detailed reference viewed: 20 (2 UL)
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See detailANIMA: Associate Memories for Categorical data Streams
Schommer, Christoph UL; Schroeder, Ben UL

in Abstract book of 3rd International Conference on Computer Science and its Applications (ICCSA-2005) (2005)

Detailed reference viewed: 44 (9 UL)
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See detailAn incremental neural-based method to discover temporal skeletons in transactional data streams
Schommer, Christoph UL

in Abstract book of 5th Recent Advances in Soft Computing (RASC 2004) (2004)

Detailed reference viewed: 25 (1 UL)
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See detailIncremental Discovery of Association Rules with Dynamic Neural Cells
Schommer, Christoph UL

in Workshop on Symbolic Networks. ECAI 2004 (2004)

Detailed reference viewed: 38 (13 UL)
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See detailIntegration of Manual and Automatic Text Categorization. A Categorization Workbench for Text-Based Email and Spam.
Sun, Qin; Schommer, Christoph UL; Lang, Alexander

in Proceedings KI 2004 (2004)

Detailed reference viewed: 160 (0 UL)
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See detailAn SQL-like interface to retrieve associative patterns from neural skeletons
Schommer, Christoph UL

in Proceedings 2004 International Conference on Advances in Intelligent Systems - Theory and Applications (2004)

Detailed reference viewed: 39 (1 UL)
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See detailA methodology for pattern discovery in tennis rallys using the adaptive framework ANIMA
Schroeder, Ben UL; Hansen, Frank; Schommer, Christoph UL

in Workshop Knowledge Discovery in Data Streams. ECML/PKDD 2005 (2004)

Detailed reference viewed: 91 (0 UL)
See detailAnwendung von Data Mining
Schommer, Christoph UL

Book published by Shaker Publishing (2003)

Detailed reference viewed: 69 (3 UL)
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See detailApplying Mining with Scoring
Bayerl, Stephan UL; Bollinger, Toni; Schommer, Christoph UL

in Data Mining III, 6 (2002)

“Scoring”, in general, is defined as the usage of mining models - based on historical data - for classification or segmentation of new items. For example: if the historical data consist of classified ... [more ▼]

“Scoring”, in general, is defined as the usage of mining models - based on historical data - for classification or segmentation of new items. For example: if the historical data consist of classified customers, then we can use the model for the prediction of the behaviour of a new customer. Scoring offers novel ways to exploit the power of data mining models in everyday business activities, and proliferate mining applications to users who are not educated in mining. In this paper, we present a) the generic scoring process b) its technical mplementation, and c) an example of how scoring can be integrated in a real application. The generic process consists of three steps: The mining models are learned first, then they are transferred into the application database, and finally the models are applied to the data loaded in that database. Arguments for the necessity of such a mining improvement are collected. IBM DB2 Intelligent Miner Scoring (IM Scoring) is the first technical implementation of scoring. It is based on the emerging open-standard for mining models (Predictive Model Markup Language - PMML), and the mining extensions for SQL. Implementation issues are discussed, as well as problems that come along with its integration into operational applications. The article closes with the description of a sample application, the integration of scoring into a call center environment. A discussion of the scoring method concludes this article. [less ▲]

Detailed reference viewed: 38 (2 UL)
See detailMining your own Business Vol 2 - Finance
Andersen, Christian UL; Bayerl, Stephan UL; Bent, Graham et al

Book published by IBM Press (2001)

Detailed reference viewed: 27 (0 UL)
See detailMining your own Business in Retail Volume 1 - Retail
Andersen, Christian UL; Bayerl, Stephan UL; Bent, Graham et al

Book published by IBM Press (2001)

Detailed reference viewed: 52 (2 UL)
See detailMining your own Business Vol. 4 - Health Care
Andersen, Christian UL; Bayerl, Stephan UL; Bent, Graham et al

Book published by IBM Press (2001)

Detailed reference viewed: 24 (0 UL)
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See detailData Mining im eCommerce: ein Fallbeispiel zur erweiterten Logfile-Analyse
Müller, Ulrike UL; Schommer, Christoph UL

in HMD - Praxis der Wirtschaftsinformatik, 06/2001 (2001)

Detailed reference viewed: 132 (6 UL)
See detailMining your own Business Vol. 3 - Telecommunication
Andersen, Christian UL; Bayerl, Stephan UL; Bent, Graham et al

Book published by IBM Press (2001)

Detailed reference viewed: 26 (0 UL)
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See detailPAPADEUS - Parallel Parsing of Ambiguous Sentences
Kemke, Christel; Schommer, Christoph UL

in Proceedings of the World Congress on Neural Networks (1993)

Detailed reference viewed: 30 (1 UL)