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Acquiring Background Knowledge for Intelligent Tutoring Systems

Cláudia Antunes
2008 Educational Data Mining  
One of the unresolved problems faced in the construction of intelligent tutoring systems is the acquisition of background knowledge, either for the specification of the teaching strategy, or for the construction  ...  In this paper, we argue that the use of sequential pattern mining and constraint relaxations can be used to automatically acquire that knowledge.  ...  One of the interesting characteristics of pattern mining is that with a few additional features, pattern mining algorithms are able to discover structured behaviours, and, in particular sequential patterns  ... 
dblp:conf/edm/Antunes08 fatcat:zzrjdu7yvng5xnry4jcsawgeeq

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  
Unlike existing cloud-based intelligence services (e.g., GoogleNow) that rely on internet access and may compromise privacy, MSM provides device intelligence by leveraging mined longitudinal patterns while  ...  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.  ...  For User 2 we also detect an interesting sequential pattern of locations visited between place c10 and work on weekday mornings. c10 is likely a cafetaria.  ... 
doi:10.1145/2638728.2641285 dblp:conf/huc/MukherjiSW14 fatcat:yz6eyaon3nfqjkxmx65z7uzrqi

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.  ...  It is certain that a high-utility pattern must be sequential, but a sequential pattern is not necessarily a high-utility sequential.  ...  For frequent sequential pattern mining we use PrefixSpan (Prefix-projected Sequential pattern mining) and using USpan (Utility Sequential Pattern Mining) for high-utility sequential pattern mining.  ... 
doi:10.1109/isriti54043.2021.9702782 fatcat:qvccmzlxezaithcpcacuv4z4ly

Editorial

A. Famili
2013 Intelligent Data Analysis  
Editorial Dear colleague Welcome to volume 17(5) of Intelligent Data Analysis Journal.  ...  The authors also introduce a data mining algorithm that is based on sequential pattern mining and evaluate the performance of this algorithm on a case study where the main variables that impact the algorithm  ...  They present a language that is based on regular expressions over constraints where sequential patterns can be expressed.  ... 
doi:10.3233/ida-130603 fatcat:wjwoyh62dbc57b6fytygax4jdq

A Literature Review of Personalized Learning Algorithm

Yin Tang, Wen Wang
2018 Open Journal of Social Sciences  
The review aims at elaborating the research based on recommendation system and data mining in personalized learning algorithm and look forward to the future research trend.  ...  The study of personalized learning algorithms meets the need to provide students with the most suitable resources for learning.  ...  For example, the associated rules technology is vulnerable to the loss of important patterns, which leads users to not be interested in the mode of mining and the application of sequential pattern to personalized  ... 
doi:10.4236/jss.2018.61009 fatcat:2ivoike2xbbglnkbovgsw6bu2y

Special issue on frontiers of applied intelligence

He Jiang
2013 Applied intelligence (Boston)  
The fourth paper, "Mining Non-Redundant Time-Gap Sequential Patterns", by Show-Jane Yen and Yue-Shi Lee, addresses the problem of mining sequential patterns.  ...  The authors propose a new algorithm to discover both the sequential patterns and the time interval between any two items in the pattern, by utilizing the information called the time-gap sequential patterns  ... 
doi:10.1007/s10489-013-0484-y fatcat:uj6xk2jrebd3tba3t7exvuw6mi

An Approach Proposed for Detecting Users activities from Recorded Log

Deepti Sahu, Rishi Soni
2016 International Journal of Computer Applications  
The development of the web has created a big challenge for directing the client to the website pages in their area of interest.  ...  Consequently, recommendation system can be utilized to forecast the navigation pattern of client and recommend those to client in a form of recommendation list.  ...  In Proposed system improved sequential pattern mining algorithm is used for finding frequently accessed web access patterns.  ... 
doi:10.5120/ijca2016908545 fatcat:3bzp7rcbyvfcpjixhipr2tep6m

Mining Objects Correlations to Improve Interactive Virtual Reality Latency

Shao-Shin Hung, Hsing-Jen Chen, Damon Shing-Min Liu
2006 Proceedings of the 9th Joint Conference on Information Sciences (JCIS)  
This paper proposes a class of novel and efficient pattern-growth method for mining various frequent sequential traversal patterns in the virtual reality.  ...  Object correlations are common semantic patterns in virtual reality systems.  ...  Almost all of the previously proposed methods for mining sequential patterns are apriori-like [3] .  ... 
doi:10.2991/jcis.2006.104 dblp:conf/jcis/HungCL06 fatcat:rcxqg4uqvfhancgwhtqdfdk3oy

Cyclic Repeated Patterns in Sequential Pattern Mining Based on the Fuzzy C-Means Clustering and Association Rule Mining Technique

Ramani Selvanambi, Jaisankar Natarajan
2017 International Journal of Intelligent Engineering and Systems  
The main aim of the proposed method is to remove cyclic repeated patterns in sequential pattern mining.  ...  In frequent item set generation, support and confidence value is evaluated for each pattern. Based on that, the rules are generated in rule generation.  ...  Many sequential pattern mining approaches have been studied, such as overall sequential pattern mining, closed sequential pattern (Clops) mining, maximal sequential pattern mining and interesting sequential  ... 
doi:10.22266/ijies2017.0228.19 fatcat:n6n2tfaasnfhhefydu6msheltm

Editorial

Tzung-Pei Hong, Been-Chian Chien, Wen-Yang Lin, Shyue-Liang Wang
2017 Intelligent Data Analysis  
Zihayat et al. then consider mining high utility sequential patterns in static and streaming data.  ...  We hope the special issue can bring some interesting ideas and recent advances in the intelligent analysis of big data and social informatics.  ... 
doi:10.3233/ida-170868 fatcat:gcx756x4tfarfoo6nsntce5hnm

Domain-Driven Data Mining: Challenges and Prospects

Longbing Cao
2010 IEEE Transactions on Knowledge and Data Engineering  
In D 3 M, ubiquitous intelligence is incorporated into the mining process and models, and a corresponding problem-solving system is formed as the space for knowledge discovery and delivery.  ...  of them are either commonsense or of no particular interest to business, and 3) end users generally cannot easily understand and take them over for business use.  ...  Yuming Ou, as well as the guest editors and reviewers, and others for their comments, discussions, and/ or experiments on the case studies.  ... 
doi:10.1109/tkde.2010.32 fatcat:bnwjryuoyngfhpwr2ylsuww7lu

Ant Colony Optimization method analyzing for Sequential Pattern Mining (Case Study: iGracias Telkom University)

Isma Dewi Liana, Ibnu Asror, Indra Lukmana Sardi
2019 Journal of Physics, Conference Series  
By using Ant Colony Optimization (ACO), the system can output the pattern of access based on the interests of all users.  ...  Also, after testing the threshold was obtained 0.02 for the student group, 0.05 for the lecturer group, and 0.025 for the employee group which can produce a pattern that represents the user's habit patterns  ...  7 Results of Sequential Pattern Mining group of Lectures without using interest.  ... 
doi:10.1088/1742-6596/1192/1/012061 fatcat:lacjnf5gtfa3xae2cbonsj4vd4

WEBKDD 2002

Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava, Osmar R. Zaiane
2002 SIGKDD Explorations  
In this paper, we provide a summary of the WEBKDD 2002 workshop, whose theme was 'Web Mining for Usage Patterns and Profiles'.  ...  This workshop was held in conjunction with the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2002).  ...  However, it suffers from inherent difficulties in finding long sequential patterns and in finding interesting patterns among a huge amount of results.  ... 
doi:10.1145/772862.772888 fatcat:cni7phqrujhrnjxsjucosynezm

Analysis and Prediction: Hidden Patterns of Foreign Visits

Weerarathna R., Fernando W., Rangadhari M., Jasandan K., Vithana N.
2016 International Journal of Computer Applications  
Since the "Predictor" system is delighted to meet best performance achievement by analysing historical data regarding arrivals of tourists possible to use for the data mining algorithms.  ...  Data mining is a largely automated methodology that has been used to find hidden patterns.  ...  Soma Sundaram gave an introduction about the sequential pattern mining and also briefly expressed the major categories of the sequential pattern mining.  ... 
doi:10.5120/ijca2016912043 fatcat:6h7265rtvjflbpgrnyifrmozqm

Comparative Study of Pattern Mining Techniques for Network Management System Logs for Convergent Network [chapter]

Bodhisattwa Gangopadhyay, Artur Arsenio, Claudia Antunes
2012 Lecture Notes in Computer Science  
In this scope they developed "Intelligent search of interesting patterns in sequences" to find correlated alarms.  ...  sequential alarms from the alarm data of a Global System for Mobile (GSM) system.  ... 
doi:10.1007/978-3-642-27872-3_16 fatcat:gb2cvolirvhxbh72byscv6bm3i
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