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[PDF] Top 20 Mining Closed Sequential Patterns with Time Constraints

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Mining Closed Sequential Patterns with Time Constraints

Mining Closed Sequential Patterns with Time Constraints

... mines closed sequential patterns. However, the time constraint is yet to be ...of mining closed sequential patterns with time ...(Closed ... See full document

6

Efficient mining of sequential patterns with time constraints by delimited pattern growth

Efficient mining of sequential patterns with time constraints by delimited pattern growth

... data mining is the discovery of sequential patterns, which finds all frequent subsequences in a sequence ...generalized sequential pattern (GSP) algorithm was proposed to solve the ... See full document

16

Mining Time-Interval Sequential Patterns Using Clustering Analysis

Mining Time-Interval Sequential Patterns Using Clustering Analysis

... -A time-interval sequential pattern is a sequential pattern with the information about the time intervals between ...of mining time-interval sequential ... See full document

6

Mining Multi-domain Sequential Patterns

Mining Multi-domain Sequential Patterns

... of mining multi-domain sequential patterns: To facilitate the presentation of multi-domain sequential patterns, Table 2 is used to illustrate an example of multi-domain sequence ... See full document

6

Mining sequential patterns across multiple sequence databases

Mining sequential patterns across multiple sequence databases

... algorithms with the minimum support ...execution time and the memory consumption of three ...execution time of algorithm IndividualMine and PropagatedMine is reduced as the minimum support in- ... See full document

20

Mining Sequential Patterns Across Multiple Sequence Databases

Mining Sequential Patterns Across Multiple Sequence Databases

... Introduction Sequential pattern mining has attracted a significant amount of research efforts ...pattern mining is discovering frequent sequences with their occurrence counts being larger than ... See full document

16

Maintaining and Mining Sequential Patterns in Incremental Sequence database

Maintaining and Mining Sequential Patterns in Incremental Sequence database

... over time. The most naïve solution of mining sequential patterns over an incremental database is to rerun the database from scratch, which didn’t take the advantage of previous ...new ... See full document

6

An efficient method for mining cross-timepoint gene regulation sequential patterns from time course gene expression datasets

An efficient method for mining cross-timepoint gene regulation sequential patterns from time course gene expression datasets

... pattern mining is one of the most important topics in the field of data mining, especially for the data- base ...a sequential pattern refers to a set of singleton frequent items/differen- tially ... See full document

12

Effective Database Transformation and Efficient Support Computation for Mining Sequential Patterns

Effective Database Transformation and Efficient Support Computation for Mining Sequential Patterns

... placed with the corresponding one containing (Z), where Z is the symbol correspond- ing to z. Therefore, after the transformation, only the singular sequences should be considered as the candidates for the ... See full document

12

Fast discovery of sequential patterns through memory indexing and database partitioning

Fast discovery of sequential patterns through memory indexing and database partitioning

... computation time is required to transform a database with a horizontal layout into one with a vertical format, which will also require several times more storage space than the original sequence ... See full document

20

An Efficient Approach to Discovering Repeated Sequential Patterns in Large Transaction Databases

An Efficient Approach to Discovering Repeated Sequential Patterns in Large Transaction Databases

... Throughout mining, many candidate sequences must be counted to determine the frequently occurring ...the sequential pattern don’t have to come from the same transaction. The time constrains can avoid ... See full document

18

Incremental mining of closed inter-transaction itemsets over data stream sliding windows

Incremental mining of closed inter-transaction itemsets over data stream sliding windows

... discover closed inter-transaction itemsets ...the closed inter-transaction itemsets by using bit approaches ...data mining communities have focused on a new data model in the form of continuous ... See full document

14

Mining frequent patterns with item, aggregation, and cardinality constraints

Mining frequent patterns with item, aggregation, and cardinality constraints

... association mining has received increasing attention within the data mining research ...user-specified constraints other than traditional rule measurements, ...frequent patterns (itemsets) ... See full document

4

Mining Mobile Sequential Patterns in a Mobile Commerce Environment

Mining Mobile Sequential Patterns in a Mobile Commerce Environment

... purchase patterns together into consideration to model the customer behavior in a mobile com- merce ...mobile sequential pattern ...for mining mobile sequential patterns, may belong to ... See full document

18

Mining Fuzzy Weighted Browsing Patterns from Time Duration and with Linguistic Thresholds

Mining Fuzzy Weighted Browsing Patterns from Time Duration and with Linguistic Thresholds

... has become a very important research topic in this field. Techniques of web mining have thus been requested and developed to achieve this purpose. In this paper, a new fuzzy weighted web-mining algorithm is ... See full document

33

An incremental mining algorithm for maintaining sequential patterns using pre-large sequences

An incremental mining algorithm for maintaining sequential patterns using pre-large sequences

... quences with their counts from preceding runs are retained for later use in ...them with the corresponding old sequences existing in the original ...1-sequences with occurrence incre- ...sequences ... See full document

8

Mining Weighted Browsing Patterns with Linguistic Minimum Supports

Mining Weighted Browsing Patterns with Linguistic Minimum Supports

... Abstract World-wide-web applications have grown very rapidly and have made a significant impact on computer systems. Among them, web browsing for useful information may be most commonly seen. Due to its tremendous ... See full document

36

Mining association rules with multiple minimum supports using maximum constraints

Mining association rules with multiple minimum supports using maximum constraints

... Data mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific ...vary with different ...proposed mining algorithm us- ing the ... See full document

13

Mining Association Rules with Multiple Minimum Supports Using Maximum Constraints

Mining Association Rules with Multiple Minimum Supports Using Maximum Constraints

... But in real applications, different items may have different criteria to judge its importance. The support requirements should then vary with different items. In this paper, we provide another point of view about ... See full document

6

Efficient Mining of Maximal Frequent Itemsets with the Closed and Intersection Approach

Efficient Mining of Maximal Frequent Itemsets with the Closed and Intersection Approach

... data mining. In this research we propose a new approach of mining rules, the Bottom-up Closed and Top-down Intersection algorithm by discovering maximal frequent itemsets ...the closed set ... See full document

6

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