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Environment for DeveLoping KDD-Application … Environment for DeveLoping KDD-Applications Supported by Index-Structures (in italiano: Ambiente per lo sviluppo di applicazioni KDD per strutture ad indice) in sigla ELKI è un programma-framework di Data mining usato per la ricerca e l'insegnamento dall'unità di ricerca in sistemi di basi di dati dell'Università di Monaco in Germania.Ha lo scopo di permettere lo sviluppo e la valutazione di algoritmi avanzati di data mining e la loro interazione con le basi di dati con indice. La prima versione, la 0.1 è uscita nel luglio 2008.L'ultima ad aprile 2012, la versione 0.5..L'ultima ad aprile 2012, la versione 0.5.
, ELKI (for Environment for DeveLoping KDD-A … ELKI (for Environment for DeveLoping KDD-Applications Supported by Index-Structures) is a data mining (KDD, knowledge discovery in databases) software framework developed for use in research and teaching. It was originally at the database systems research unit of Professor Hans-Peter Kriegel at the Ludwig Maximilian University of Munich, Germany, and now continued at the Technical University of Dortmund, Germany. It aims at allowing the development and evaluation of advanced data mining algorithms and their interaction with database index structures.nteraction with database index structures.
, Environment for DeveLoping KDD-Application … Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI), auf Deutsch etwa „Umgebung zur Entwicklung von Wissensentdeckung-Anwendungen mit Indexstruktur-Unterstützung“, ist ein Forschungsprojekt, das ursprünglich am Datenbanken-Lehrstuhl von Professor Hans-Peter Kriegel an der Ludwig-Maximilians-Universität München entwickelt wurde, und jetzt an der Technischen Universität Dortmund weitergeführt wird. Es handelt sich um ein in Java geschriebenes, modulares Softwarepaket („Framework“) zur Knowledge Discovery in Databases. Der Fokus liegt auf Verfahren zur Clusteranalyse, Ausreißer-Erkennung sowie der Verwendung von Indexstrukturen in solchen Verfahren. Als Forschungsprojekt einer Universität liegt der Fokus auf einer einfachen Erweiterbarkeit, Lesbarkeit und in der Verwendung in Forschung und Lehre an der Universität, nicht in maximaler Geschwindigkeit oder in der Integration mit bestehenden Business-Intelligence-Anwendungen. So verfügt bisher beispielsweise keine der freigegebenen Versionen über eine Datenbankschnittstelle zu bestehenden industriellen Datenbanksystemen, und eine Verwendung der Software setzt Vorwissen und ein Lesen der Dokumentation voraus. Die Zielgruppe für das Projekt sind Forscher, Studenten und Softwareentwickler. Die modulare Architektur der Software erlaubt zahlreiche Kombinationen der enthaltenen Algorithmen, Datentypen, Distanzmaßen und Indexstrukturen. Bei der Entwicklung neuer Verfahren oder Distanzen kann daher das neue Modul einfach mit den bestehenden Modulen kombiniert und evaluiert werden. Die Visualisierungsmodule erlauben es dabei oft, die Ergebnisse einfach darzustellen und so zu vergleichen. Der Entwicklungsaufwand und die Entwicklungszeit solcher Module wird durch die Wiederverwendung bestehenden Programmcodes erheblich vereinfacht, so dass die Software gut als Basis für Seminar-, Diplom- und Master-Arbeiten verwendet werden kann.und Master-Arbeiten verwendet werden kann.
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Environment for DeveLoping KDD-Application … Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI), auf Deutsch etwa „Umgebung zur Entwicklung von Wissensentdeckung-Anwendungen mit Indexstruktur-Unterstützung“, ist ein Forschungsprojekt, das ursprünglich am Datenbanken-Lehrstuhl von Professor Hans-Peter Kriegel an der Ludwig-Maximilians-Universität München entwickelt wurde, und jetzt an der Technischen Universität Dortmund weitergeführt wird.n Universität Dortmund weitergeführt wird.
, ELKI (for Environment for DeveLoping KDD-A … ELKI (for Environment for DeveLoping KDD-Applications Supported by Index-Structures) is a data mining (KDD, knowledge discovery in databases) software framework developed for use in research and teaching. It was originally at the database systems research unit of Professor Hans-Peter Kriegel at the Ludwig Maximilian University of Munich, Germany, and now continued at the Technical University of Dortmund, Germany. It aims at allowing the development and evaluation of advanced data mining algorithms and their interaction with database index structures.nteraction with database index structures.
, Environment for DeveLoping KDD-Application … Environment for DeveLoping KDD-Applications Supported by Index-Structures (in italiano: Ambiente per lo sviluppo di applicazioni KDD per strutture ad indice) in sigla ELKI è un programma-framework di Data mining usato per la ricerca e l'insegnamento dall'unità di ricerca in sistemi di basi di dati dell'Università di Monaco in Germania.Ha lo scopo di permettere lo sviluppo e la valutazione di algoritmi avanzati di data mining e la loro interazione con le basi di dati con indice. La prima versione, la 0.1 è uscita nel luglio 2008.L'ultima ad aprile 2012, la versione 0.5..L'ultima ad aprile 2012, la versione 0.5.
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, Environment for DeveLoping KDD-Applications Supported by Index-Structures
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