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Section: New Software and Platforms

Symbolic KDD Systems

The Coron Platform

Functional Description .

The Coron platform [102] , [96] is a KDD toolkit organized around three main components: (1) Coron-base, (2) AssRuleX, and (3) pre- and post-processing modules. The software was registered at the “Agence pour la Protection des Programmes” (APP) and is freely available (see http://coron.loria.fr ).

The Coron-base component includes a complete collection of data mining algorithms for extracting itemsets such as frequent itemsets, closed itemsets, generators and rare itemsets. In this collection we can find APriori, Close, Pascal, Eclat, Charm, and, as well, original algorithms such as ZART, Snow, Touch, and Talky-G [103] . AssRuleX generates different sets of association rules (from itemsets), such as minimal non-redundant association rules, generic basis, and informative basis. In addition, the Coron system supports the whole life-cycle of a data mining task and proposes modules for cleaning the input dataset, and for reducing its size if necessary.

The Coron toolkit is developed in Java, is operational, and was already used in several research projects.

Orion: Skycube Computation Software

Functional Description.

This program implements the algorithms described in a research paper published at VLDB 2010 [100] . The software provides a list of four algorithms discussed in the paper in order to compute skycubes. This is the most efficient –in term of space usage and runtime– implementation for skycube computation.

OrphaMine – Data mining platform for orphan diseases

  • Partners: INSERM - MoDYCo CNRS - Délégation régionale Ile-de-France, secteur ouest et nord - Greyc Université de Caen - Basse-Normandie

  • Contact: Chedy Raissi

  • URL: http://webloria.loria.fr/~mosmuk/orphamine/

  • Keywords: Bioinformatics, data mining, biology, health, data visualization, drug development.

Functional Description.

The OrphaMine platform, developed as part of the ANR Hybrid project, enables visualization, data integration and in-depth analytics. The data at the heart of the platform is about orphan diseases and is extracted from the OrphaData ontology (http://www.orpha.net ).

We aim to build a true collaborative portal that will serve the different actors of the Hybrid project: (i) A general visualization of OrphaData data for physicians working, maintaining and developing this knowledge database about orphan diseases. (ii) The integration of analytics (data mining) algorithms developed by the different academic actors. (iii) The use of these algorithms to improve our general knowledge of rare diseases.

PoQeMON Analytics: Platform for Quality Evaluation of Mobile Netwoks

  • Partners: Altran, DataPublica, GenyMobile, HEC, Inria Nancy-Grand Est, IP-Label, Next Interactive Media, Orange, Université Paris-Est Créteil

  • Contact: Chedy Raissi

  • URL: https://members.loria.fr/poqemon/

  • Keywords: Data mining, data visualization.

Functional Description.

PoQEMoN is a quality evaluation platform for mobile phone networks. The quality measures include the coverage, availability and network performances. Multiple methods are implemented in this platform, either in visualization or in data anonymization to make on-line analytics as simple as possible.