title: SPOT--towards temporal data mining in medicine and bioinformatics.
abstract: Mining large clinical and bioinformatics databases often includes exploration of temporal data. E.g., in liver transplantation, researchers might look for patients with an unusual time pattern of potential complications of the liver. In Knowledge-based Temporal Abstraction time-stamped data points are transformed into an interval-based representation. We extended this framework by creating an open-source platform, SPOT. It supports the R statistical package and knowledge representation standards (OWL, SWRL) using the open source Semantic Web tool Protégé-OWL.
authors.affiliation: Grand Valley State University, One Campus Drive, Allendale, MI, USA.
authors.forename: Guenter
authors.initials: G
authors.lastname: Tusch
authors.forename: Chris
authors.initials: C
authors.lastname: Bretl
authors.forename: Martin
authors.initials: M
authors.lastname: O'Connor
authors.forename: Martin
authors.initials: M
authors.lastname: Connor
authors.forename: Amar
authors.initials: A
authors.lastname: Das
mesh_terms: D019295:Computational Biology / Q000379:methods*; D057225:Data Mining; D003628:Database Management Systems; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D008490:Medical Informatics / Q000379:methods*; D008824:Michigan; D057386:Search Engine; D012984:Software