association rules

Mining association rules is one of the primary methods used in telecommunication alarm correlation analysis.

Typical association rules consider only items enumerated in transactions. Such rules are referred to as positive association rules.

Typical association rules consider only items enumerated in transactions, referred to as positive association rules.

Association rules are one of the techniques used in data mining, and particularly useful with e-commerce transactional information.

Understanding of association rules, frequent item set, confidence, support the concept understand the concept of information entropy.

This thesis introduces the concept of taxonomy and generalized association rules and the problem of mining generalized association rules.

Note, not all products have related association rules, as the support of the rules may have been too small during computation.

We propose a time windowing technique for the incremental maintenance of association rules, which can focus on finding strong assoc. . .

By introducing association rules, this classification model can be improved in two way.

Mining association rules require two pieces of data, the transaction and what was bought in that transaction.

Interestingness is another important threshold besides minimum support and minimum confidence for association rules.

The results demonstrate that the combined association rules represent the regular texture and random texture perfectly.

In theory discussed the application of association rules - associated classification to prove their superiority.

This flow generates a model that contains the association rules and stores it as a PMML model in the database.

Association rules is widely used in data mining to find patterns in data. The typical example is shopping basket analyse.

Based on this work, a theory of mining association rules based on OLAP is developed. It simplifies mining steps and enhances its efficiency.

Then, the parallel algorithm for mining Boolean association rules is improved to discover frequent fuzzy attributes.

Therefore, if the quantities of items can be included in association rules, it will be helpful for managers to make the marketing decisions.

The result shows that the efficient algorithm can discover interesting and strong multiple -level association rules.

Implementing a Recommender System utilizing association rules and making tests to analyzing the precision.

Association rules mining is a key issue in data mining. It discovers and analyses the associations among different sets of data items.

This paper addresses the problem and designs a data base to discuss the approach of mining association rules with multiple minimum supports.

The problem of mining association rules is to find the associations between items in a large database of sales transactions.

Mining association rules from large databases plays an essential role in many data mining tasks and has broad applications.

Secondly, an improved fuzzy association method was proposed to mine the classification association rules.

This paper presents a cluster method for discretization in the processing of mining quantitative association rules.

The data mining of association rules is an essential research aspect in the data mining fields .

In this paper, one new maintenance algorithm is presented for the efficient maintenance problem of association rules.

Mining Association Rules is the key task of data mining, frequent pattern mining is the necessary stage of association rules.

In this paper, the author mainly explores, analyzes and evaluates the algorithms FUP and FUP for association rules updating.

To avoid re-finding upon existing data and reduce data storage overhead, we store near strong association rules.

Introduce the item weights to traditional association rules mining is the expansion in the project properties.

Data mining is a new technology to mine valuable informatin from abundant data, and association rules mining is a method of data mining.

In this paper, a major research study of the association rules based on data online shopping system.

The cursor returns the content of the RETAIL_RULES table containing the association rules.

Experiment 2 using data mining, combine geology elements judge order methods, mining the association rules which based APRIORI algorithm.

In this paper, the association rules algorithm is introduced in the analysis of Multi-media Teaching evaluation data.

You can visually explore the association rules by right clicking on the Associations operator and select Open Model.

The association rules are widely used in the field of banking, electronic communication, commerce, etc.

The second report shows the filtered, dynamically created association rules for the selected product.

the association rules, which are extracted from XML documents, are stored in XML database and displayed using XSL.

Intelligent Miner will derive some association rules you can use to further understand a customer's buying habits.

However, in many fields, only mining positive association rules is not enough, and it's need to mining the denial of the data.

Analyse and research of the data mining technique for association rules .

Mining Association Rules is the important aspacts of data mining and its application.

A traditional example of association rules can be seen in the retail sector.

The above work can give a valuable reference for frequent pattern mining and association rules studying.

Build the concepts of strong two-way association rules and strong-weak association rules.

In the process of decompose kiln in cement production line, association rules are mined between controlled objects.

Then mine the set and get all frequent class association rules that satisfy the minimum support.

This paper presents an approach for extracting thematic terms based on association rules, which include both key phrases and related terms.

The algorithm of clustering analysis and association rules is the main point, and revision to some specific problems in practice.

Normal Association Rules on Interval Valued Database.

Third, the analysis method based on association rules, establish enterprise information maturity model key Area.

This paper proposed five parameters for evaluating association rules as well as analysis of them at first.

Finally the research of the weighted association rules of the future development trend are discussed.

Finally, you have to store the extracted association rules to a physical table.

Finally, Rule base is construct by the association rules.

How to discover preferential operation series segment adopting Apriori algorithm in association rules.

e-commerce sites can clearly benefit from strong association rules.

The other is to produce strong association rules by frequent itemsets.

This paper concerns an important field of the data mining: the application of association rules in stock.

The residential load forecasting was analyzed based on the association rules-mining of Data-Mining and Panel Data model in this article.

Association rules describe events that tend to occur together.

A slight variation of association rules are sequential rules.

In this paper, we discuss the electronic banking application based on association rules mining technology of data mining.

The single minimum support degree is used in the existing association rules mining methods mostly.

At the same time compares and analyses some typical algorithms, introduces the application of the association rules.

Discovering frequent itemsets is important in data mining association rules.

Association rules describe which items often co-occur.

It is a basic request for every member to abide by the association rules.

In this case three association rules are discovered.

Association rules mining is finished by two steps. One is to find all frequent itemsets.

The second aspect is to assist the teacher to analysis the test questions with the association rules.

In this article you learned about association rule mining and how to find association rules with InfoSphere Warehouse.

Therefore, it is necessary apparently that profit constraint in association rules mining has been induced sales.

Then Make use of Association Rules to discover the linkages between stocks.

In this paper, a new algorithm based on Bit-matrix for Mining Negative Association Rules (BMNAR) is proposed.

You have learned that data mining with association rules is a useful way to identify related items in your customers' shopping carts.

For example, you may want to use the descriptions of all the rules of an association rules model in a custom application.

On the other hand, Naive Bayes is weighted by computing the confidence of association rules.

An Algorithm For Mining Multi-level Association Rules Across One Sort Of Multi-Tables

A Time Windowing Technique for the Incremental Maintenance of Association Rules

Association Rules Analysis and Its Application in the Educational Administration Management System

Classified fuzzy association rules mining model and its application in aromatic hydrocarbon extraction

The Research and Application of Association Rules about Correlation Among the Courses

Building Intrusion Detection System Models with an Improved Algorithm of Association Rules

A Time-Window Based Incremental Technique for Updating Association Rules

To Construct the Set of Synonyms and Association Words Using Latent Semantic Analysis and the Mining of Association Rules

Interpersonal Association among Chinese Acquaintances in Modern Times--A Discussion of Changes of Interpersonal Trust and Association Rules

Research and Implementation of an Improved Updating Algorithm for Mining Association Rules

Research of the Application on Customer Analysis of an Association Rules Mining Method

An Algorithm for Mining Multi level Association Rules in a Table and Its Application in One MEIS

Application of Parallel Association Rules Algorithm in Earthquake Region-Correlation Predication

The Application of an Improved Temporal Algorithm of Association Rules to Intrusion Detection

Study of Association Rules's Automatic Synthesized Appraisal

Application of Association Rules and Clustering Analysis to Personalized Recommendation

Mining Quantitative Association Rules in Rough Set and A Method of Rules Reduction

The Implement of Mining Boolean Association Rules Using Frequent Items arithmetic Without Candidate Generation

Negative Incremental Updating Algorithm for Maintaining Association Rules

An algorithm for mining association rules with composite items in computer-aided diagnosing of traditional Chinese medicine

Multi-Scaling Sampling: An Adaptive Sampling Method for Discovering Approximate Association Rules

Algorithms of Discovering Quantitative Association Rules and Their Comparison

Application of association rules to the fault detection of starting-up and shutdown process of liquid rocket engine

Research on Algorithm of Association Rules and its application in Education System

Improved Algorithm for Mining Association Rules and Its Achievement

Time Applicability for Association Rules and Its Discovering Method

Integrating Class Frequency Into Association Rules Based Chinese Text Categorization

Mining Inter-transactional Quantitative Association Rules

The Design and Realization of Association Rules Mining in Teaching Information Management for Universities

Comprehensive evaluation method of association rules and an practical example

The Applications of Linguistic Valued Association Rules for the Weather System Simulation

Design and Application of Association Rules and Sequential Patterns in Geography Information Data Digging

Association Rules Mining Technology Used in Guide Reading System

The Applications of Fuzzy Association Rules for the Environmental System Simulation

Association Rules of Searching for a Method of Numerical Attribute in Database

An Efficient Incremental Updating Algorithm for Discovered Association Rules

Mining Fuzzy Association Rules from Quantitative Database with Fuzzy Taxonomic Structure

Practically High Efficiency Calculating Method in Association Rules and Datamining

Mining Multi-level Temporal Association Rules from Distributed Timestamp Databases

Research of an Association Rules Algorithm in Web Information Search System

Research on an Improved Approach for Association Rules Mining

Efficient distributed parallel algorithm for mining association rules in large database

An Algorithm for Mining Optimized Confidence Quantitative Association Rules

Application of Quantitative Association Rules in Intrusion Detection System

Application of Association Rules Mining Technology in Network Intrusion Detection

Analysis and Comparison of Representative Algorithms for Mining Association Rules

Application of Association Rules in Educational Administration

Application of Association Rules in Telecommunication Business

An Efficient Incremental Updating Algorithm in Data Mining for Maintaining Association Rules

Customized Interval based Method for Mining Positive and Negative Temporal Association Rules

Mining Multiple- level Association Rules with Item Constraints in Distributed Database

Algorithm Analysis for Anti-monotone and Monotone Constraints Association Rules Mining

The Application of Fuzzy Clustering Algorithm on Mining Quantitative Association Rules

Comparative Research on Association Rules Mining and Classification Rules Mining

Application of Association Rules Techniques in Electric Marketing Analysis

Fitness Function for Evolutionary Learning of Predictive Association Rules

Application of Interactive Association Rules Mining in Intrusion Detection

Research of Incremental Updating Algorithm for Mining Association Rules with Items Weighted

Research on temporal association rules and its application

Association Rules Algorithms on Data Mining and Its Application

Association Rules Based Automatic Chinese Text Categorization

Discovery of Profit Constraint Quantitative Association Rules

Research on Relationships of Confidence among Positive and Negative Association Rules

A Data Mining Algorithm of Association Rules Can Be Applied to Medium or Small Datasets

Study on an Efficient Algorithm of Association Rules Mining

Uncertainty Processing and Measurement of Spatial Data Association Rules Mining

Fast Algorithms for Mining Constrained Association Rules in Distributed Systems

Research of Algorithms for Maintaining Discovered Association Rules

The method of association rules mining can be applied to mine CCI;

Mining of Multiple Arrangements Association Rules with Tense Restrictions

A distributed algorithm for mining multilevel association rules from large databases

Research on Integration of Online Analytical Processing and Association Rules Mining

Association Rules and their Application in the Analysis of the Liver Cancer Patients Data

Effective Algorithm for Mining Constrained Association Rules

Application of Association Rules of Data Mining in Research on Credit Card Customers Consuming Behavior

Quantitative Criterion for Mining Both Positive and Negative Association Rules

Research of Improvement and Optimization on Association Rules Mining Algorithm

The Comparative Study on Interestingness Measures for Mining Association Rules

Research for mining fuzzy association rules algorithms on relational databases

Association rules and an approach of mining with multiple minimum supports

Mining Association Rules in Customer Behavior in Telecommunication

Application of Mining Association Rules into Teaching Appraisement

Mining quantitative association rules of liquid propellant rocket engine

Mining More Significant Association Rules by Introducing Prior Knowledge

An Efficient Incremental Updating Algorithm for Mining Association Rules

Study of Relationship among Adjacent Road Segments Traffic Based on Association Rules Mining

An Efficient Algorithm for Mining Inter-transaction Association Rules in Multiple Time Series

Research and Realization Using Prolog on Mining Frequent Items Algorithm of Association Rules

Interestingness Measure and Its Application in Learning Guidance System Based on Association Rules

Application of Association Rules in Alarm Processing of Communication Network

Algorithm of weighted association rules mining with multiple minimum supports

Application of Discovery of Association Rules in Quality - Oriented Education

An Improved Algorithm of Association Rules in Telecommunication Network Alarm

Applicaiton of Association Rules Mining in Insurance Company Customers'Information Management System

Research on the realization of association rules excavation in relational database

Updating Mining Algorithm for Distributed Association Rules

Clustering Method for Mining Quantitative Association Rules

Incremental updating algorithm for mining association rules

Mining Spatial Association Rules in Two-direction

An algorithm of mining association rules of treatment information dealing with TCM Nephrosis

Fast updating of constrained association rules in distributed databases

Concept Lattice Based Approach for Incremental Association Rules Mining

Incremental Updating Algorithm for Mining Association Rules with Vector

Incremental updating algorithm for mining multi-level association rules

Study of Intrusion Detection Algorithm for Network Security Based on Association Rules

Design and Implementation of FIPT-Based Spatial Association Rules Mining Algorithm

Ameliorating and Application of Association Rules Mining Algorithms in Data Mining

An Efficient Preprocessing Algorithm for Mining Association Rules

Classification methods of association rules with linguistic terms

Incremental Updating and Expanding on Algorithms of Mining Association Rules

The application of weighted association rules in network intrusion detection

An Associated Matrixes based Algorithm for Mining Temporal Association Rules

Distributed association rules mining algorithm by sampling and meta-learning

A Compressed Database Calculating Method in Association Rules and Datamining

Two-times-Mining Incremental Updating Algorithm For Mining Association Rules

Parallel Algorithm for Discovering Association Rules

Algorithms for Mining Quantitative Association Rules

An Improved Algorithm for the Graph-Based Discovering Association Rules

Application of Association Rules Mining to Arrangement of Courses in Universities

The Application of Weighted Association Rules in Host-Based Intrusion Detection System

Mining Association Rules with Item Constraints in Distributed Database

Mining Generalized Association Rules on Multilevel Concept

Mining association rules with grouping multiple minimum supports

Effect of Adaptive Interval Configuration on Parallel Mining Association Rules

Algorithm design and implementation for association rules formed by frequent sets of items

Usage of Association Rules in Intellective System of Arranging University Curriculum Schedule

Research on Algorithms for Mining Association Rules in Distributed Database

An Optimized Method for Mining Biological Data Multilevel Association Rules

Prediction Method of Fuzzy Association Rules in Interval Valued Relational Database

Investment risk rules mining in insurance business data with association rules method

An effective incremental updating algorithm for association rules of data mining

An Approach of Mining Association Rules with Multiple Minimum Supports Stratagem

Design of Association Rules-based Recommended Agent for Business Register Access

mining for association rules is a simple and very useful data mining method

An Incremental Updating Algorithm for Online Association Rules Mining

Finding association rules from Train Running Safety Monitoring System

An Interactive Mining Algorithm of Association Rules with Constraints

The Association Rules Aided Genetic Algorithm for Text Classification

Mining fuzzy association rules in interval valued relational database

Algorithm of Mining Weighted Boolean Association Rules and Comparison

Mining Algorithm of Normalized Weighted Association Rules in Database

Algorithms for Mining Constrained Association Rules

Mining single-dimensional Boolean association rules

Pruning and Clustering Discovered Association Rules

Mining quantitative association rules from database

Equivalence relation based association rules mining

The Research on the Incremental Updating Algorithm for Mining Association Rules

An Improving Algorithm for Mining Constrained Association Rules

An application of association rules mining to cigarette marketing analysis

The Mining Association Rules on the Monitoring Data of Container Crane Health Conditions

The analytical goal is to extract association rules of the form

Measurement of association rules correlation

An efficient graph-based algorithm for discovering association rules

Application of Association Rules in Coronary Heart Disease Diagnosis

Research on Method for Optimized Association Rules Mining Arithmetic

Data mining with association rules using WebSphere Commerce Analyzer

Development of algorithms for maintaining discovered association rules

Algorithms for Data Cube-Based Intra-dimensional Association Rules Mining

An Effective Algorithm of Association Rules Mining in Relational Database

An Effective Stack-Transform Based Algorithm for Mining Association Rules

Algorithm for mining calendar-based temporal association rules

The features of the flame image were analyzed, from which the gray association rules were mined;

An Algorithm for Mining Association Rules Based on Improved Genetic Algorithm and its Application

Introduction of Mining Association Rules Algorithm

Algorithm for Generating Non-Redundant Association Rules

Improved Parallel Algorithm for Mining Association Rules

Improved Algorithm for Parallel Mining Association Rules

Estimation of Association Rules from Incomplete Database

Research on the Incremental Updating Strategy for Association Rules