Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping

Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Original languageEnglish
    Title of host publicationMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT II
    EditorsD Gunopulos, T Hofmann, D Malerba, M Vazirgiannis
    Number of pages17
    PublisherSpringer-Verlag
    Publication date2011
    Pages341-357
    Publication statusPublished - 2011
    MoE publication typeA4 Article in conference proceedings
    EventEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) - Athens, Greece
    Duration: 5 Sep 20119 Sep 2011

    Publication series

    NameLecture Notes in Artificial Intelligence
    PublisherSPRINGER-VERLAG BERLIN
    Volume6912
    ISSN (Print)0302-9743

    Fields of Science

    • burstiness
    • sequence analysis
    • natural language modeling
    • STREAMS
    • BURSTS

    Cite this

    Lijffijt, J., Papapetrou, P., Puolamäki, K., & Mannila, H. (2011). Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping. In D. Gunopulos, T. Hofmann, D. Malerba, & M. Vazirgiannis (Eds.), MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT II (pp. 341-357). (Lecture Notes in Artificial Intelligence; Vol. 6912). Springer-Verlag.