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[PDF] Top 20 A generic approach for mining indirect association rules in data streams

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A generic approach for mining indirect association rules in data streams

A generic approach for mining indirect association rules in data streams

... An indirect association refers to an infrequent itempair, each item of which is highly co-occurring with a frequent itemset called ...though indirect associations have been recognized as ... See full document

10

Mining indirect associations over data streams

Mining indirect associations over data streams

... Abstract—Indirect association is a new type of infrequent pattern, which provides a new way for interpreting the value of infrequent patterns and can effectively reduce the number of ... See full document

6

Fuzzy data mining for interesting generalized association rules

Fuzzy data mining for interesting generalized association rules

... The rules thus mined exhibit quantitative regularity at taxonomy and can be used to provide some suggestions to appropriate ...crisp-set mining methods for quantitative data, our ... See full document

33

Mining decision rules on data streams in the presence of concept drifts

Mining decision rules on data streams in the presence of concept drifts

... build a decision model to predict the unseen ...However, in order to give readers a clear overview of our approach, we show the comparison of execution time among a CDR-Tree, an ... See full document

15

Mining Fuzzy Multiple-Level Association Rules from Quantitative Data

Mining Fuzzy Multiple-Level Association Rules from Quantitative Data

... and data-mining techniques have been developed to turn data into useful task-oriented ...algorithms for mining association rules identify relationships among transactions ... See full document

33

On Mining General Temporal Association Rules in a Publication Database

On Mining General Temporal Association Rules in a Publication Database

... on-going mining works. For example, most researchers tend to pay more attention to the lat- est published ...straightforward approach to addressing the above issues is to lower the value of the ... See full document

8

Toward intelligent data warehouse mining: An ontology-integrated approach for multi-dimensional association mining

Toward intelligent data warehouse mining: An ontology-integrated approach for multi-dimensional association mining

... anddemonstrated a preliminary framework. 7. Conclusions The purpose of data mining is for users to find real and useful knowledge they actually ...want. In this paper we have shown ... See full document

36

A Graph-Based Approach for Discovering Various Types of Association Rules

A Graph-Based Approach for Discovering Various Types of Association Rules

... AbstractÐMining association rules is an important task for knowledge ...transaction data to discover customer behaviors such that the quality of business decision can be ...of ... See full document

7

A Study on Mining Fuzzy Association Rules and Episode Rules for Intrusion Detection 柯文元、曹偉駿

A Study on Mining Fuzzy Association Rules and Episode Rules for Intrusion Detection 柯文元、曹偉駿

... J. A. Marin, J., D. J. Ragsdale, and J. R. Surdu, “A Hybrid Approach to Profile Creation and Intrusion Detection,” Proceedings of the DARPA Information Survivability Conference and Exposition - ... See full document

3

An efficient algorithm for mining temporal high utility itemsets from data streams

An efficient algorithm for mining temporal high utility itemsets from data streams

... utility mining aims at identifying the itemsets with high ...than a pre-specified threshold in current time window of the data ...process for mining interesting patterns like ... See full document

13

A Scalable Complex Event Analytical System with Incremental Episode Mining over Data Streams

A Scalable Complex Event Analytical System with Incremental Episode Mining over Data Streams

... Moreover, in many applications, people want to have not only the information of the episode patterns that learned from the historical data, they also hope to obtain the most updated information that learned ... See full document

8

Maintenance of Association Rules in Data Mining

Maintenance of Association Rules in Data Mining

... pre-large for the original database. If a candidate 1-itemset from the newly inserted transactions is also among the large or pre-large 1-itemsets from the original database, its new total count for ... See full document

6

Hiding Constrained Association Rules in Privacy Preserving Data Mining

Hiding Constrained Association Rules in Privacy Preserving Data Mining

... Data Cleaning Data Integration Data Warehouse Task-relevant Data Selection Data Mining Pattern Evaluation... Current Technology: Architecture of a Typical Data Mining System.[r] ... See full document

70

Ontology-Incorporated Mining of Association Rules in Data Warehouse

Ontology-Incorporated Mining of Association Rules in Data Warehouse

... facilities in capturing user’s mining behavior. Data mining is an individual independent and more or less subjective ...the mining results and their representation usually depend on ... See full document

9

Ontology-incorporated mining of association rules in data warehouse

Ontology-incorporated mining of association rules in data warehouse

... stored data. Contemporary data warehousing systems are mostly based on relational databases, which cannot thoroughly describe organizational relation between ...data. For example, the star ... See full document

8

Mining Time Series Data with Fuzzy Association Rules

Mining Time Series Data with Fuzzy Association Rules

... 2.1 Association Rules Data mining can be applied to discover the useful patterns and rules by exploring and analyzing a large quantity of ...is, a collection of ... See full document

7

Mining Association Rules in Text

Mining Association Rules in Text

... propose a new algorithm named Multipass with Inverted Hashing and Pruning (MIHP) for mining association rules between words in text ...existing mining algorithms cannot ... See full document

1

A new approach for classification of generic audio data

A new approach for classification of generic audio data

... 00395 A New Approach for Classification of Generic Audio Data 65 The proposed method consists of three stages: feature extraction, the coarse- level classification and the fine-level ... See full document

17

Perfect Hashing Schemes for Mining Association Rules

Perfect Hashing Schemes for Mining Association Rules

... of data mining association rules, as in the DHP algorithm that utilizes the hash table in identifying the validity of candidate itemsets according to the number of the table's ... See full document

1

Mining fuzzy association rules for classification problems

Mining fuzzy association rules for classification problems

... of data mining techniques for the discovery of knowledge from training samples for classification problems in industrial engineering is necessary in applications, such as group ... See full document

16

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