Detail publikace

Towards Online Data Mining System for Enterprises

Originální název

Towards Online Data Mining System for Enterprises

Anglický název

Towards Online Data Mining System for Enterprises

Jazyk

en

Originální abstrakt

As the amount of generated and stored data in enterprises increases, the significance of fast analyzing of this data rises. This paper introduces data mining system designed for high performance analyses of very large data sets, and presents its principles. The system supports processing of data stored in relational databases and data warehouses as well as processing of data streams, and discovering knowledge from these sources with data mining algorithms. To update the set of installed algorithms the system does not need a restart, so high availability can be achieved. Data analytic tasks are defined in a  programming language of the Microsoft .NET platform with libraries provided by the system. Thus, experienced users are not limited by graphical designers and their features, and are able to create complex intelligent analytic tasks. For storing and querying results a special storage system is outlined.

Anglický abstrakt

As the amount of generated and stored data in enterprises increases, the significance of fast analyzing of this data rises. This paper introduces data mining system designed for high performance analyses of very large data sets, and presents its principles. The system supports processing of data stored in relational databases and data warehouses as well as processing of data streams, and discovering knowledge from these sources with data mining algorithms. To update the set of installed algorithms the system does not need a restart, so high availability can be achieved. Data analytic tasks are defined in a  programming language of the Microsoft .NET platform with libraries provided by the system. Thus, experienced users are not limited by graphical designers and their features, and are able to create complex intelligent analytic tasks. For storing and querying results a special storage system is outlined.

BibTex


@inproceedings{BUT96956,
  author="Jan {Kupčík} and Tomáš {Hruška}",
  title="Towards Online Data Mining System for Enterprises",
  annote="As the amount of generated and stored data in enterprises increases, the
significance of fast analyzing of this data rises. This paper introduces data
mining system designed for high performance analyses of very large data sets, and
presents its principles. The system supports processing of data stored in
relational databases and data warehouses as well as processing of data streams,
and discovering knowledge from these sources with data mining algorithms. To
update the set of installed algorithms the system does not need a restart, so
high availability can be achieved. Data analytic tasks are defined in a 
programming language of the Microsoft .NET platform with libraries provided by
the system. Thus, experienced users are not limited by graphical designers and
their features, and are able to create complex intelligent analytic tasks. For
storing and querying results a special storage system is outlined.",
  address="SciTePress - Science and Technology Publications",
  booktitle="Proceedings of the 7th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2012)",
  chapter="96956",
  edition="NEUVEDEN",
  howpublished="print",
  institution="SciTePress - Science and Technology Publications",
  year="2012",
  month="june",
  pages="187--192",
  publisher="SciTePress - Science and Technology Publications",
  type="conference paper"
}