20 results for “sequential pattern”

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Research ArticleOpen accessPhrase in the titleSequential Patterns: A new Corpus-Based Method to Inform the Teaching of Language for Specific PurposesDominique Legallois, Anne PrunetIn this study, we present an original study that aims to show how pedagogically important lexico-grammatical patterns, which are typical of certain genres, can be identified and taught at every educational level, in particular for learners of French for Specific Purposes. These patterns, called Sequential Patterns, constitute a more powerful paradigm than lexical bundles or “P-frames” because they combine different … …Journal of Social Sciences, Vol. 11, Issue 3 · 13 Aug 2015 · 8,174 accessesView PDF Cite

Research ArticleOpen accessPhrase in the titleFast Algorithms for Discovering Sequential Patterns in Massive DatasetsS. Dharani, Justus Rabi, Nanda Kumar, DarlyProblem statement: Sequential pattern mining is one of the specific data mining tasks, particularly from retail data. The task is to discover all sequential patterns with a user-specified minimum support, where support of a pattern is the number of data-sequences that contain the pattern. Approach: To find a sequence patterns variety of algorithm like AprioriAll and Generalized Sequential Patterns (GSP) … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 7,280 accessesView PDF Cite

Research ArticleOpen accessPhrase in the titleA New Incremental Updating Algorithm for Mining Sequential PatternsJia-Dong Ren, Xiao-Lei ZhouThis study discusses how to maintain discovered sequential patterns when some information is deleted from a sequence database. A new algorithm, called MA_D (Maintenance Algorithm when Deleting some information), is presented in order to deal with the maintenance of sequential patterns mining resulted from the updating of database and the algorithm makes full use of the information obtained from previous … …Journal of Computer Science, Vol. 2, Issue 4 · 30 Apr 2006 · 6,613 accessesView PDF Cite

Research ArticleOpen accessPhrase in the titleEfficient Approach to Discover Interval-Based Sequential PatternsR. Sadasivam, K. DuraiswamyIn most of the sequential pattern mining methodology they have concentrated only on time point base event data. But some research efforts have detailed the mining patterns from time interval based event data. In many application most of the events are occurred at time interval based event not a point based interval for example patient affected by the certain time … …Journal of Computer Science, Vol. 9, Issue 2 · 11 Apr 2013 · 6,368 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleMining Sequential Access Pattern with Low Support From Large Pre-Processed Web LogsS. Vijayalakshmi, V. MohanProblem statement: To find frequently occurring Sequential patterns from web log file on the basis of minimum support provided. We introduced an efficient strategy for discovering Web usage mining is the application of sequential pattern mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Approach: The approaches adopt … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,222 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsFast Real Time Analysis of Web Server Massive Log Files using an Improved Web Mining ArchitectureC. Kavitha, Ramesh RajamanickamThe web has played a vital role to detect the information and finding the reasons to organize a system. As the web sites were increased, the web log files also increased based on the web searching. Our challenge and the task are to reduce the log files and classify the best results to reach the task which we used. Aimed … …Journal of Computer Science, Vol. 9, Issue 6 · 6 Jun 2013 · 6,340 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsShots Temporal Prediction Rules for High-Dimensional Data of Semantic Video RetrievalShaimaa Toriah Mohamed Toriah, Atef Zaki Ghalwash, Aliaa A.A. YoussifTemporal consistency stands as a vital property in semantic video retrieval. Few research studies can exploit this useful property. Most of the used methods in those studies depend on rules defined by experts and use ground-truth annotation. The Ground-truth annotation is time-consuming, labor intensive and domain specific. Additionally, it involves a limited number of annotated concepts and a limited number … …American Journal of Applied Sciences, Vol. 15, Issue 1 · 30 Jan 2018 · 8,117 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsDETECTING MULTIPLE INTRUSION ATTACKS USING PERMANENT GIRTH CLUSTERING MODEL IN WIRELESS SENSOR NETWORKG. Jayamurugan, P. KamalakkannanSecurity is the central challenge and one of the serious concerns for designing reliable sensor networks. Of the different types of security threats in wireless sensor network, particularly dangerous attack is the replica node attack, in which the opponent takes the secret keying materials from a compromised node. It then produces large number of attacker-controlled replicas that divide up the … …Journal of Computer Science, Vol. 10, Issue 8 · 1 Apr 2014 · 6,467 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEfficient Rainfall Forecasting Using Sequential Momentum-Based Artificial Neural Networks for Urban Flood ManagementSherin K K, G. SuganthiUrban floods cause severe disruption in densely populated cities and damage essential public infrastructure. Rapid urbanization and weak drainage systems further increase the risk during heavy rainfall. Accurate short-term rainfall forecasting is required to support early warning and reduce losses. This research focuses on improving rainfall prediction accuracy using an Artificial Neural Network trained with a new optimizer named Sequential … …Journal of Computer Science, Vol. 22, Issue 4 · 9 Apr 2026 · 1,539 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Systematic Review of Metaheuristic-Metaheuristic (MH-MH) Hybridizations for OptimizationAugustina Dede Agor, Frank Kataka Banaseka, Prince Silas Kwesi Oberko et al.This systematic review following the PRISMA framework analyzes metaheuristic-metaheuristic (MH-MH) hybridizations published between January and October 2024 to uncover patterns of algorithmic dominance, functional roles and integration strategies, metaphor-based partnerships, domain mappings and evaluation orientations. Frequency mapping of 105 canonical algorithms identified Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), and Whale Optimization Algorithm (WOA) as the three most recurrent … …Journal of Computer Science, Vol. 22, Issue 2 · 4 Mar 2026 · 2,183 accessesView PDF Cite