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An experimental evaluation of two approaches to mining context based sequential patterns

Jerzy Stefanowski, Radoslaw Ziembinski
2009 Control and Cybernetics  
The aim of this paper is to experimentally compare these two approaches to mine artificially generated sequence databases with numerical context attributes where several reference patterns are hidden.  ...  Moreover, a new measure for comparing two sets of context based patterns is introduced.  ...  Acknowledgment The research of the first author was partially supported by the grant N N519 3505 33.  ... 
dblp:journals/control/StefanowskiZ09 fatcat:uaazxz7ktbbxlnmkx5pob3dhpi

Mining Sequential Patterns of Predicates for Fault Localization and Understanding

Zebao Gao, Zhenyu Chen, Yang Feng, Bin Luo
2013 2013 IEEE 7th International Conference on Software Security and Reliability  
Our framework outputs faulty sequential patterns based on a 3-stage procedure: a pre-processing stage to prune sequences, a mining stage to discover candidate sequential patterns based on the revised SPADE  ...  In this paper, we establish a systematic framework based on sequential-pattern mining to assist fault localization. We model the executions of test cases as sequences of predicates.  ...  context based on mining sequential patterns of predicates in this paper.  ... 
doi:10.1109/sere.2013.33 dblp:conf/ssiri/GaoCFL13 fatcat:kcimnu5uxzf3dnjs3op45svot4

Distributed Sequential Pattern Mining: A Survey and Future Scope

Suhasini Itkar, Uday Kulkarni
2014 International Journal of Computer Applications  
Different types of sequential pattern mining can be performed are sequential patterns, maximal sequential patterns, closed sequences, constraint based and time interval based sequential patterns.  ...  Distributed sequential pattern mining is the data mining method to discover sequential patterns from large sequential database on distributed environment.  ...  SPAMC is a cloud-based version of sequential pattern mining algorithm consisting of two phases: scanning phase, and mining phase.  ... 
doi:10.5120/16461-6187 fatcat:7ggeuyoqwnfzhnhwjixufttpua

BFSPMiner: an effective and efficient batch-free algorithm for mining sequential patterns over data streams

Marwan Hassani, Daniel Töws, Alfredo Cuzzocrea, Thomas Seidl
2017 International Journal of Data Science and Analytics  
In order to address so-delineated pattern mining problems, this paper introduces and experimentally assesses BFSPMiner, a Batch-Free Sequential Pattern Miner algorithm for effectively and efficiently mining  ...  Supporting sequential pattern mining from data streams is nowadays a relevant problem in the area of data stream mining research.  ...  , and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s41060-017-0084-8 dblp:journals/ijdsa/HassaniTCS19 fatcat:ikqs4e7ocvdydcm5en3lxfgih4

Adding intelligence to your mobile device via on-device sequential pattern mining

Abhishek Mukherji, Vijay Srinivasan, Evan Welbourne
2014 Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct Publication - UbiComp '14 Adjunct  
We introduce the idea of Mobile Sequence Mining (MSM) engine that automatically learns phone usage sequential patterns over the rich context data captured within the device.  ...  MSM is generic and can provide sequential patterns and predictions over multiple data streams, also allowing individual mobile applications to stream their own private data to mine sequential patterns.  ...  An example of generating frequent sequences is depicted in Figure 2 Evaluation Context Data Collection To evaluate our Mobile Sequence Mining (MSM) service, we collected mobile context data from  ... 
doi:10.1145/2638728.2641285 dblp:conf/huc/MukherjiSW14 fatcat:yz6eyaon3nfqjkxmx65z7uzrqi

Data mining for the analysis of content interaction in web-based learning and training systems [chapter]

C. Pahl
2006 Data Mining in E-Learning  
Data mining is based on the detection and extraction of knowledge from a database. Web usage mining is a special form of data mining to address behaviour in Web sites.  ...  Web usage mining shall be proposed as the central, nonintrusive and objective evaluation technique for the analysis of the usage of Web-based learning and training systems and in particular of the interaction  ...  The author is also greatly indebted to Dave Donnellan and Lei Xu for their work on the mining techniques described here.  ... 
doi:10.2495/1-84564-152-3/03 fatcat:7a2777tusrhgzcsa4ycpkh6xzi

Context-Aware Prefetching at the Storage Server

Gokul Soundararajan, Madalin Mihailescu, Cristiana Amza
2008 USENIX Annual Technical Conference  
Our prototype shows that context-aware prefetching clearly outperforms existing context-oblivious prefetching algorithms, resulting in factors of up to 2 improvements in application latency for two e-commerce  ...  However, the high level of concurrency in today's applications typically leads to interleaved block accesses, which makes detecting an access pattern a very challenging problem.  ...  We also acknowledge the generous support of the Natural Sciences and Engineering Research Council of Canada (NSERC), through an NSERC Canada CGS scholarship for Gokul Soundararajan, and several NSERC Discovery  ... 
dblp:conf/usenix/SoundararajanMA08 fatcat:an3m7l5wzneezehstzjosbvrqe

Mining Source Codes to Guide Software Development [chapter]

Sheng-Kuei Hsu, Shi-Jen Lin
2010 Lecture Notes in Computer Science  
Our experimental evaluation shows that MACs has significant potential to assist developers, especially project newcomers, and provides a reuse method for code reuse from relevant source codes files.  ...  The reuse of software library and application framework is an important activity for rapid software development.  ...  These projects show the results on an easier type, such as browse-based, while our approach offers a context-sensitive coding environment.  ... 
doi:10.1007/978-3-642-12145-6_46 fatcat:htfdhdtwencxtebktuqmntuxqe

User Experience Personalization within e applications: A Data Mining approach

Vlad-Mihai Danila, Teodor Stefanut
2019 Romanian Conference on Human-Computer Interaction  
We introduce a real-time Sequential Pattern Mining approach to gather knowledge about on-going user's habits.  ...  The applicability of the personalized gathered knowledge will be exemplified in the context of a Web application used to manage and configure products in a company.  ...  Next, an experimental application with direct personalization integration is described, followed by an evaluation section.  ... 
dblp:conf/rochi/DanilaS19 fatcat:6zv5lmg34rashc262y6f3ogdim

Context-Aware and Sequential Pattern Mining based recommendations for Research Papers: A Hybrid Approach

Hafiz Amaad, Naveed Jhamat, Kashif Riaz, Zeeshan Arshad
2020 Journal of information communication technologies and robotic applications  
Experimental evaluations of our approach indicate the excellence of our approach over other baseline approaches in terms of precision, recall, F1, and mean absolute error (MAE).  ...  is used to measure predictions based on correlations between scholars and generate context-aware and sequential trend mining based recommendations for the targeted scholars.  ...  C O N C L U S I O N In this study, we presented a context-aware (CA) and sequential pattern mining (SPM) based hybrid approach for the recommendation of research papers to the scholars in a scholarly environment  ... 
doi:10.51239/jictra.v0i0.240 fatcat:zqmy7hk2yzhwvfjiqsisk36dwa

Online Retail Pattern Quality Improvement: From Frequent Sequential Pattern to High-Utility Sequential Pattern

Ridowati Gunawan
2021 2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)  
The conclusion of the research conducted is that the high-utility sequential pattern mining can produce a higher quality pattern than just getting a frequent sequential pattern.  ...  The experimental results show that the frequent sequential pattern will always appear in the highutility sequential pattern but not vice versa.  ...  Like sequential pattern mining, highutility itemset mining also uses an Apriori-based approach [20] - [22] , pattern-growth [23] , [24] .  ... 
doi:10.1109/isriti54043.2021.9702782 fatcat:qvccmzlxezaithcpcacuv4z4ly

Context-Aware Practice Problem Recommendation Using Learners' Skill Level Navigation Patterns

P. N. Ramesh, S. Kannimuthu
2023 Intelligent Automation and Soft Computing  
To overcome the issue, we propose a context-aware practice problem recommender system based on learners' skill level navigation patterns.  ...  The use of programming online judges (POJs) has risen dramatically in recent years, owing to the fact that the auto-evaluation of codes during practice motivates students to learn programming.  ...  Conflicts of Interest: We declare that we have no conflicts of interest to report regarding the present study. References  ... 
doi:10.32604/iasc.2023.031329 fatcat:wzcu7opt2bbgxcxtt6tgy5u7gm

Sequential pattern mining for discovering gene interactions and their contextual information from biomedical texts

Peggy Cellier, Thierry Charnois, Marc Plantevit, Christophe Rigotti, Bruno Crémilleux, Olivier Gandrillon, Jiří Kléma, Jean-Luc Manguin
2015 Journal of Biomedical Semantics  
Results: We take advantage of an hybridization of data mining and natural language processing to propose an original symbolic method to automatically produce patterns conveying gene interactions and their  ...  Some of existing NLP approaches are based on handcrafted rules and thus are time consuming and often devoted to a specific corpus.  ...  It is built in two Table 2 gives the list of the four testing corpora used to evaluate the proposed approach, and the results of the evaluation.  ... 
doi:10.1186/s13326-015-0023-3 pmid:25992265 pmcid:PMC4436157 fatcat:z3uyjt2rmnajxpsh4e3nhoxjla

Towards an automatic construction of Contextual Attribute-Value Taxonomies

Dino Ienco, Yoann Pitarch, Pascal Poncelet, Maguelonne Teisseire
2012 Proceedings of the 27th Annual ACM Symposium on Applied Computing - SAC '12  
We experiments the benefit of use CAVTs in the two following tasks: (i) the multilevel multidimensional sequential pattern mining problem in which hierarchies are involved to exploit abstraction over the  ...  The two main advantages of our method are to be fully unsupervised (i.e., without any knowledge provided by an expert) and parameter-free.  ...  The approach was evaluated using a multilevel, multidimensional sequential pattern mining method and a k-anonymity algorithm to summarize a relational table.  ... 
doi:10.1145/2245276.2245301 dblp:conf/sac/IencoPPT12 fatcat:dhd4ardubnc4fkfih6lcuxf25e

Mining Sequential Patterns: A Context-Aware Approach [chapter]

Julien Rabatel, Sandra Bringay, Pascal Poncelet
2013 Studies in Computational Intelligence  
For instance, given the context corresponding to young customers, we propose to mine patterns of the form "buying products A and B then product C is a general behavior in this population" or "buying products  ...  In this paper, we focus on the analysis of a given context (e.g., a category of customers) by extracting context-dependent sequential patterns within this context.  ...  This approach is very time consuming, as it requires to mine sequential patterns in all contexts of the hierarchy.  ... 
doi:10.1007/978-3-642-35855-5_2 fatcat:hcw4rkwd5baxdne6aquvza4dai
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