Erscheinungsdatum: 04.03.2016, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Transactions on Computational Collective Intelligence XXI, Titelzusatz: Special Issue on Keyword Search and Big Data, Auflage: 1. Auflage von 2016 // 1st ed. 2016, Redaktion: Kowalczyk, Ryszard // Nguyen, Ngoc Thanh // Rupino Da Cunha, Paulo, Verlag: Springer Berlin Heidelberg // Springer Berlin, Sprache: Englisch, Schlagworte: Intelligenz // Künstliche Intelligenz // KI // AI // Modellieren // allgemein // Modellierung // Netzwerk // elektronisch, Rubrik: Anwendungs-Software, Seiten: 188, Informationen: Paperback, Gewicht: 317 gr, Verkäufer: averdo
Keyword Extraction Using Swarm Intelligence Techniques ab 35.99 € als Taschenbuch: . Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,
Transactions on Computational Collective Intelligence XXI ab 56.49 € als pdf eBook: Special Issue on Keyword Search and Big Data. Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet,
Transactions on Computational Collective Intelligence XXI ab 57.99 € als Taschenbuch: Special Issue on Keyword Search and Big Data. 1st ed. 2016. Aus dem Bereich: Bücher, Ratgeber, Computer & Internet,
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Transactions on Computational Collective Intelligence XXI ab 57.99 EURO Special Issue on Keyword Search and Big Data. 1st ed. 2016
Transactions on Computational Collective Intelligence XXI ab 56.49 EURO Special Issue on Keyword Search and Big Data
Without formal structure data are those that have no prearranged form or structure and are full of textual data. Typical unstructured systems include emails, reports, telephone or messaging conversations, etc. The main goal of this work is to extract the keywords from a conversation using Swarm Intelligence (SI) techniques. Keywords are grouped together under their classification and then suggested to the user. In proposed work, by using crisscross searching techniques, keywords are easy to search and provide some important top keywords. Separate algorithms are used for searching and clustering. Firefly algorithm is used for clustering to identify similar related keywords. Finally the results show that SI techniques have a better effect and convergence performance compared with existing diverse keyword extraction technique.