DeepAI AI Chat
Log In Sign Up

Incremental Maintenance Of Association Rules Under Support Threshold Change

by   Mohamed Anis Bach Tobji, et al.

Maintenance of association rules is an interesting problem. Several incremental maintenance algorithms were proposed since the work of (Cheung et al, 1996). The majority of these algorithms maintain rule bases assuming that support threshold doesn't change. In this paper, we present incremental maintenance algorithm under support threshold change. This solution allows user to maintain its rule base under any support threshold.


page 1

page 2

page 3

page 4


Quantitative CBA: Small and Comprehensible Association Rule Classification Models

Quantitative CBA is a postprocessing algorithm for association rule clas...

Incremental View Maintenance for Property Graph Queries

This paper discusses the challenges of incremental view maintenance for ...

Fixing Incremental Computation: Derivatives of Fixpoints, and the Recursive Semantics of Datalog

Incremental computation has recently been studied using the concepts of ...

A Parallel/Distributed Algorithmic Framework for Mining All Quantitative Association Rules

We present QARMA, an efficient novel parallel algorithm for mining all Q...

Discrete Event Simulation for Port Berth Maintenance Planning

Industrial and commercial ports, which are one of the three main hubs to...

Optimised Maintenance of Datalog Materialisations

To efficiently answer queries, datalog systems often materialise all con...

How to Amend a Constitution? Model, Axioms, and Supermajority Rules

A self-governed community or society must have rules by which group deci...