• Skip to main content
  • Skip to primary sidebar
AAAI

AAAI

Association for the Advancement of Artificial Intelligence

    • AAAI

      AAAI

      Association for the Advancement of Artificial Intelligence

  • About AAAIAbout AAAI
    • News
    • Officers and Committees
    • Staff
    • Bylaws
    • Awards
      • Fellows Program
      • Classic Paper Award
      • Dissertation Award
      • Distinguished Service Award
      • Allen Newell Award
      • Outstanding Paper Award
      • AI for Humanity Award
      • Feigenbaum Prize
      • Patrick Henry Winston Outstanding Educator Award
      • Engelmore Award
      • AAAI ISEF Awards
      • Senior Member Status
      • Conference Awards
    • Partnerships
    • Resources
    • Mailing Lists
    • Past Presidential Addresses
    • AAAI 2025 Presidential Panel on the Future of AI Research
    • Presidential Panel on Long-Term AI Futures
    • Past Policy Reports
      • The Role of Intelligent Systems in the National Information Infrastructure (1995)
      • A Report to ARPA on Twenty-First Century Intelligent Systems (1994)
    • Logos
  • aaai-icon_ethics-diversity-line-yellowEthics & Diversity
  • Conference talk bubbleConferences & Symposia
    • AAAI Conference
    • AIES AAAI/ACM
    • AIIDE
    • EAAI
    • HCOMP
    • IAAI
    • ICWSM
    • Spring Symposia
    • Summer Symposia
    • Fall Symposia
    • Code of Conduct for Conferences and Events
  • PublicationsPublications
    • AI Magazine
    • Conference Proceedings
    • AAAI Publication Policies & Guidelines
    • Request to Reproduce Copyrighted Materials
    • Contribute
    • Order Proceedings
  • aaai-icon_ai-magazine-line-yellowAI Magazine
  • MembershipMembership
    • Member Login
    • Chapters

  • Career CenterAI Jobs
  • aaai-icon_ai-topics-line-yellowAITopics
  • aaai-icon_contact-line-yellowContact

  • Twitter
  • Facebook
  • LinkedIn
Home / Proceedings / AAAI Workshop Papers 1998 /

Predicting the Future: AI Approaches to Time-Series Problems: Papers from the 1998 AAAI Workshop

Contents

  • An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback

    Eamonn J. Keogh, Michael J. Pazzani

    44

    PDF
  • A General Paradigm for Applying Machine Learning in Automated Manufacturing Processes

    Wei Zhang, Rod Tjoelker

    91

    PDF
  • Learning to Predict Rare Events in Categorical Time-Series Data

    Gary M. Weiss, Haym Hirsh

    83

    PDF
  • Pattern Discovery in Temporal Databases: Some Recent Results

    Alexander Tuzhilin

    80

    PDF
  • Discovering Rules for Clustering and Predicting Asynchronous Events

    Tim Oates, David Jensen, and Paul R. Cohen

    73

    PDF
  • Predicting Resource Usages with Incomplete Information

    Jung-Jin Lee, Robert McCartney

    71

    PDF
  • Approaches to Online Learning and Concept Drift for User Identification in Computer Security

    Terran Lane, Carla Brodley

    64

    PDF
  • Filtering Techniques for Rapid User Classification

    Terran Lane

    58

    PDF
  • A Probabilistic Approach to Fast Pattern Matching in Time Series Databases

    Eamonn Keogh, Padhraic Smyth

    52

    PDF
  • Preface

    Andrea Danyluk, Tom Fawcett, and Foster Provost

    1

    PDF
  • A New Mixture Model for Concept Learning from Time Series

    William H. Hsu, Sylvian R. Ray

    42

    PDF
  • Heterogeneous Time Series Learning for Crisis Monitoring

    William Hsu, Nathan D. Gettings, Victoria E. Lease, Yu Pan, and David C. Wilkins

    34

    PDF
  • Learning in Time Ordered Domains with Hidden Changes in Context

    Michael Harries, Kim Horn, and Claude Sammut

    29

    PDF
  • Early Prediction of Electric Power System Blackouts by Temporal Machine Learning

    P. Geurts, L. Wehenkel

    21

    PDF
  • Automated Design of User Profiling Systems for Fraud Detection

    Tom Fawcett, Foster Provost

    13

    PDF
  • Predicting Sequences of User Actions

    Brian D. Davison, Haym Hirsh

    5

    PDF
  • Modeling Periodic Functions for Time Series Analysis

    Anish Biswas

    1

    PDF

Primary Sidebar