The Information Systems and Machine Learning Lab (ISMLL) works on
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Machine Learning / Data Mining, especially on
Data Mining of web data (Web Mining), e.g., of usage data (Web Usage
Mining), structures (Web Structure Mining) and contents / texts
(Web Content Mining / Text Mining). Methodologically, we develop
algorithms for association analysis (association rule algorithms) as
well as models and algorithms for predictive modelling / classification.
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Internet Technologies, especially XML and XML-databases, web services,
technologies for the semantic web, Java and several
Java-based server technologies (JSP, integration with XML, etc.).
At the interface with methodological topics from (1) we are interested in
numerically intensive Java.
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E-commerce- and e-business applications, especially complex, dynamic,
adaptive and/or learning systems, that require "intelligence", that
can be realized by methods from (1).
Examples are recommender systems (e.g., for sales assistance) as well as
intelligent methods for marketing research (mainly non-reactive methods as
web usage mining, but also reactive adaptive methods as adaptive conjoint analysis).
For the storage and management of the underlying data we are interested
in data warehouse technologies (e.g., for web usage data).
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E-learning, especially the analysis of the usage of e-learning products
and services as well as the automatic structuring of information
and the assistance of learners in e-learning environments, e.g. by means
of recommender systems (see 3).
In winter term 2007/2008, a new course of studies in
Information Systems (BSc) started
at University of Hildesheim.
You can
apply for the next intake (winter term 2010/2011)
until October 25, 2010.
In winter term 2010/2011, a new course of studies in
Information Systems (MSc) starts.
You can
apply or the next intake (winter term 2010/2011) until October 25, 2010.
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