Results 11 to 20 of about 23,652 (302)
Reframing in Frequent Pattern Mining [PDF]
Mining frequent patterns is a crucial task in data mining. Most of the existing frequent pattern mining methods find the complete set of frequent patterns from a given dataset.
Flach, Peter A +9 more
core +5 more sources
Algorithms for Extracting Frequent Episodes in the Process of Temporal Data Mining [PDF]
An important aspect in the data mining process is the discovery of patterns having a great influence on the studied problem. The purpose of this paper is to study the frequent episodes data mining through the use of parallel pattern discovery algorithms.
Alexandru PIRJAN
doaj +1 more source
Proof Learning in PVS With Utility Pattern Mining [PDF]
Interactive theorem provers (ITPs) are software tools that allow human users to write and verify formal proofs. In recent years, an emerging research area in ITPs is proof mining, which consists of identifying interesting proof patterns that can be used ...
M. Saqib Nawaz +2 more
doaj +2 more sources
Overview of frequent pattern mining. [PDF]
Various methods of frequent pattern mining have been applied to genetic problems, specifically, to the combined association of two genotypes (a genotype pattern, or diplotype) at different DNA variants with disease. These methods have the ability to come up with a selection of genotype patterns that are more common in affected than unaffected ...
Ott J, Park T.
europepmc +3 more sources
Preference-Based Frequent Pattern Mining [PDF]
Frequent pattern mining is an important data-mining problem with broad applications. Although there are many in-depth studies on efficient frequent pattern mining algorithms and constraint pushing techniques, the effectiveness of frequent pattern mining ...
Moonjung Cho +3 more
core +2 more sources
SQL based frequent pattern mining [PDF]
Data mining, frequent pattern mining, database mining, mining algorithms in SQLMagdeburg, Univ., Fak.
Shang, Xuequn
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Mining frequent patterns in process models [PDF]
Process mining has emerged as a way to analyze the behavior of an organization by extracting knowledge from event logs and by offering techniques to discover, monitor and enhance real processes. In the discovery of process models, retrieving a complex one, i.e., a hardly readable process model, can hinder the extraction of information.
David Chapela-Campa +2 more
openaire +2 more sources
Discovering Exclusive Patterns in Frequent Sequences [PDF]
This paper presents a new concept for pattern discovery in frequent sequences with potentially interesting applications. Based on data mining, the approach aims to discover exclusive sequential patterns (ESP) by checking the relative exclusion of ...
Weiru Chen +5 more
core +1 more source
Route Recommendation Method Based on Frequent Trajectory Sequence Pattern Mining
Travel route recommendation is one of the important research contents in the field of intelligent transportation. Traditional route recommendation methods often recommend routes on the basis of a single factor such as the shortest route or the shortest ...
Zongtao DUAN +5 more
doaj +1 more source
Mining Negative Sequential Patterns with Periodic Gap Constraints [PDF]
Sequential pattern mining with gap constraints is a special form of sequential pattern mining,which can reveal frequent subsequences in a certain gap.However,the current sequential pattern mining methods with gap constraints only focus on positive ...
WANG Zhulin, WU Youxi, WANG Yuehua, LIU Jingyu
doaj +1 more source

