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WIS: Weighted Interesting Sequential Pattern Mining with a Similar Level of Support and/or Weight
2007
ETRI Journal
Using these measures, weighted interesting sequential patterns with similar levels of support and/or weight are mined. ...
This strategy provides basic pruning; however, it cannot mine correlated sequential patterns with similar support and/or weight levels. ...
Previous sequential pattern mining algorithms could not detect sequential patterns with support and/or weight affinity. ...
doi:10.4218/etrij.07.0106.0067
fatcat:i6om3ipyazfhnob2je6uemyvny
On Identifying Useful Patterns to Analyze Products in Retail Transaction Databases
2009
IEICE transactions on information and systems
In this paper, we suggest weighted support affinity pattern mining in which a new measure, weighted support confidence (ws-confidence) is developed to identify correlated patterns with the weighted support ...
In previous mining approaches, patterns with the weak affinity are found even with a high minimum support. ...
Weighted support affinity pattern mining can give answers about the comparative analysis queries and discover interesting patterns which cannot be detected by the conventional sequential pattern mining ...
doi:10.1587/transinf.e92.d.2430
fatcat:x233wcwrznhazcle7ycufrouxq
IWFPM: Interested Weighted Frequent Pattern Mining with Multiple Supports
2015
Journal of Software
Our paradigm is to assign appropriate minimum support (minsup) and weight for each item, which reduces the number of unnecessary patterns. ...
This paper presents an efficient approach for mining users' interest weighted frequent patterns from a transactional database. ...
Acknowledgment This work is supported by the key technology integration and demonstration of rural Internet information services (2012BAD35B08), Chongqing, China ...
doi:10.17706/jsw.10.1.9-19
fatcat:kckwhlzr4bb2npxsxci5kti6ni
Extraction of High Utility Itemsets using Utility Pattern with Genetic Algorithm from OLTP System
2015
International Journal on Recent and Innovation Trends in Computing and Communication
To analyse vast amount of data, Frequent pattern mining play an important role in data mining. ...
In practice, Frequent pattern mining cannot meet the challenges of real world problems due to items differ in various measures. ...
In the paper [16] , Yun proposed weighted frequent pattern mining with length decreasing support constraints. ...
doi:10.17762/ijritcc2321-8169.150394
fatcat:kj5qs6ohfjfmdcj66hr2i2aieq
BicNET: Flexible module discovery in large-scale biological networks using biclustering
2016
Algorithms for Molecular Biology
Methods: This work proposes Biclustering NETworks (BicNET), a biclustering algorithm to discover non-trivial yet coherent modules in weighted biological networks with heightened efficiency. ...
The application of BicNET on protein interaction and gene interaction networks from yeast, E. coli and Human reveals new modules with heightened biological significance. ...
It was supported by national funds through Fundação para a Ciência e Tecnologia with reference UID/ CEC/50021/2013, the Ph.D. grant SFRH/BD/75924/2011 to RH and the sabbatical leave grant SFRH/BSAB/1427 ...
doi:10.1186/s13015-016-0074-8
pmid:27213009
pmcid:PMC4875761
fatcat:54uw36eqafdabel2rjjdrvniqa
Computational cell biology
2003
ChoiceReviews
We propose a method for learning linguistic patterns with a method based on sequential patterns enhanced by a recursive mining of patterns. ...
DMT4SP (Data Mining Tool For Sequential Patterns) 3 5. ...
doi:10.5860/choice.40-2772
fatcat:d73sxzlqk5hldghxuy3huohqau
Computational Cell Biology
2003
Briefings in Bioinformatics
We propose a method for learning linguistic patterns with a method based on sequential patterns enhanced by a recursive mining of patterns. ...
DMT4SP (Data Mining Tool For Sequential Patterns) 3 5. ...
doi:10.1093/bib/4.1.87
fatcat:szv5ps3zovawbhrotxdktxrgwe
Computational Cell Biology
2003
Mathematical Medicine and Biology
We propose a method for learning linguistic patterns with a method based on sequential patterns enhanced by a recursive mining of patterns. ...
DMT4SP (Data Mining Tool For Sequential Patterns) 3 5. ...
doi:10.1093/imammb/20.1.131
fatcat:2cmq6zcr6bb7holvjztfu26i6y
Computational Cell Biology
2003
Mathematical Medicine and Biology
We propose a method for learning linguistic patterns with a method based on sequential patterns enhanced by a recursive mining of patterns. ...
DMT4SP (Data Mining Tool For Sequential Patterns) 3 5. ...
doi:10.1093/imammb20.1.131
fatcat:6sml7goilrdvjphvvhsuerpyuy
Mining web content usage patterns of electronic commerce transactions for enhanced customer services
2021
Engineering Reports
Table 6 shows the top five supported Web object sequential patterns discovered using the prefixSpan algorithm with minimal sequential pattern length of three. ...
We use the PrefixSpan algorithm, 18 a high efficient frequent sequence mining algorithm, to mine Web content usage log to find long sequential access patterns with high support. ...
doi:10.1002/eng2.12411
fatcat:yp57yt6jkvgv7h6oz6vvzxk4fm
A Comprehensive Survey on Affinity Analysis, Bibliomining, and Technology Mining: Past, Present, and Future Research
2022
Applied Sciences
Three interesting fields in data mining are affinity analysis, bibliomining, and technology mining. ...
Affinity analysis provides data mining techniques to determine the similarity among objects; bibliomining is a combination of data mining, bibliometrics, and data warehousing; technology mining is a research ...
[29] We selected 29 papers on affinity analysis, 16 papers on bibliomining, and 8 papers on technology mining from various publishers, including IEEE, ACM, ScienceDirect, Springer-
Conflicts of Interest ...
doi:10.3390/app12105227
fatcat:xe5vqxyizvdc5obyeg4zuiocai
Color Crafting: Automating the Construction of Designer Quality Color Ramps
[article]
2019
arXiv
pre-print
Visualizations often encode numeric data using sequential and diverging color ramps. ...
We do this using an algorithmic approach that models designer practices by analyzing patterns in the structure of designer-crafted color ramps. ...
This work was supported by NSF Award # 1657599. ...
arXiv:1908.00629v1
fatcat:x3oeyptzybgj7emm434cqi2vrq
Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels
[chapter]
2013
Lecture Notes in Computer Science
We support our findings with experiments on transaction graphs and single large graphs from the domains of physical building security and digital forensics, measuring the effect on runtime, memory requirements ...
and coverage of discovered patterns, relative to the unconstrained approach. ...
Acknowledgments We would like to thank Erich Schubert at Ludwig-Maximilians Universität München for assistance with verifying our LOF implementation and providing us with the RP + PINN + LOF implementation ...
doi:10.1007/978-3-642-37382-4_10
fatcat:hvz3v7p3orbwnofe5dv5je7mre
Finding the most descriptive substructures in graphs with discrete and numeric labels
2013
Journal of Intelligent Information Systems
We support our findings with experiments on transaction graphs and single large graphs from the domains of physical building security and digital forensics, measuring the effect on runtime, memory requirements ...
and coverage of discovered patterns, relative to the unconstrained approach. ...
Acknowledgments We would like to thank Erich Schubert at Ludwig-Maximilians Universität München for assistance with verifying our LOF implementation and providing us with the RP + PINN + LOF implementation ...
doi:10.1007/s10844-013-0299-7
fatcat:eqrepgrfi5bi3pwcoiol6ygura
Declarative Process Mining: Reducing Discovered Models Complexity by Pre-Processing Event Logs
[chapter]
2014
Lecture Notes in Computer Science
The approach was evaluated through a case study with an artificial event log and its results showed complexity reduction on the resulting hierarchical model. ...
The discovery of declarative process models by mining event logs aims to represent flexible or unstructured processes, making them visible to business and improving their manageability. ...
[7] proposed an approach to search for sequential patterns on event logs and replace them with abstract activities. ...
doi:10.1007/978-3-319-10172-9_28
fatcat:6545u6h43veablomyx7js6lnie
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