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  1. Transactions on Knowledge Discovery from Data (TKDD)
  2. ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 10
  3. Issue 4(Special Issue on SIGKDD 2014, Special Issue on BIGCHAT and Regular Papers), July 2016
  4. Unsupervised Rare Pattern Mining: A Survey
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ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 11
ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 10
Issue 4(Special Issue on SIGKDD 2014, Special Issue on BIGCHAT and Regular Papers), July 2016
Introduction to the Special Issue of Best Papers in ACM SIGKDD 2014
Product Selection Problem: Improve Market Share by Learning Consumer Behavior
Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach
Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search
Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue
Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data
Jointly Modeling Label and Feature Heterogeneity in Medical Informatics
Mining Dual Networks: Models, Algorithms, and Applications
Biomedical Ontology Quality Assurance Using a Big Data Approach
Less is More: Building Selective Anomaly Ensembles
Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing
Inferring Dynamic Diffusion Networks in Online Media
Unsupervised Rare Pattern Mining: A Survey
CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering
Spatial-Proximity Optimization for Rapid Task Group Deployment
Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-Blog
Eigen-Optimization on Large Graphs by Edge Manipulation
Issue 3, February 2016
Issue 2, October 2015
Issue 1, July 2015
ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 9
ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 8
ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 7
ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 6
ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 5
ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 4
ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 3
ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 2
ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 1

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Unsupervised Rare Pattern Mining: A Survey

Content Provider ACM Digital Library
Author Ravana, Sri Devi Koh, Yun Sing
Copyright Year 2016
Abstract Association rule mining was first introduced to examine patterns among frequent items. The original motivation for seeking these rules arose from need to examine customer purchasing behaviour in supermarket transaction data. It seeks to identify combinations of items or itemsets, whose presence in a transaction affects the likelihood of the presence of another specific item or itemsets. In recent years, there has been an increasing demand for rare association rule mining. Detecting rare patterns in data is a vital task, with numerous high-impact applications including medical, finance, and security. This survey aims to provide a general, comprehensive, and structured overview of the state-of-the-art methods for rare pattern mining. We investigate the problems in finding rare rules using traditional association rule mining. As rare association rule mining has not been well explored, there is still specific groundwork that needs to be established. We will discuss some of the major issues in rare association rule mining and also look at current algorithms. As a contribution, we give a general framework for categorizing algorithms: Apriori and Tree based. We highlight the differences between these methods. Finally, we present several real-world application using rare pattern mining in diverse domains. We conclude our survey with a discussion on open and practical challenges in the field.
Starting Page 1
Ending Page 29
Page Count 29
File Format PDF
ISSN 15564681
e-ISSN 1556472X
DOI 10.1145/2898359
Volume Number 10
Issue Number 4
Journal ACM Transactions on Knowledge Discovery from Data (TKDD)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-05-24
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Association rule mining Infrequent patterns Rare rules
Content Type Text
Resource Type Article
Subject Computer Science
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