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This paper presents an original data mining approach for extracting pixel evolutions and sub-evolutions from Satellite Image Time Series. Those evolutions, namely the frequent grouped sequential patterns, are required to cover a minimum... more
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      Data MiningTime SeriesOptical ImagingTime Series Data Mining
Data mining, which is the exploration of knowledge from the large set of data, generated as a result of the various data processing activities. Frequent Pattern Mining is a very important task in data mining. The previous approaches... more
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    •   10  
      Computer ScienceData MiningTypologySequential Pattern Mining
This paper presents an intelligent prefetching technique that significantly improves hybrid flash-disk storage, a combination of hard disk and flash memory. As a prefetching strategy, we adopt the sequential pattern mining, a variant of... more
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    •   8  
      Data MiningSequential Pattern MiningArchitecture and MemoryAssociation Rule Mining
We propose a novel solution to the email classification problem: the integration of temporal information with the traditional content-based classification approaches. We discover temporal relations in an email sequence in the form of... more
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    •   4  
      Sequential Pattern MiningTemporal Information ExtractionIntelligent Information SystemsLearning Methods
The increasing pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) is leading to the collection of large spatio-temporal datasets and to the opportunity of discovering usable knowledge about movement behaviour,... more
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    •   7  
      Pattern MiningSequential Pattern MiningData Mining and Knowledge DiscoveryEmpirical Evaluation
In this paper, we use Sequential Pattern Mining from Probabilistic Databases to learn trajectory patterns. Trajectories which are a succession of points are firstly transformed into a succession of zones by grouping points to build the... more
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    •   4  
      Data MiningProbabilistic DatabasesSequential Pattern MiningTrajectory Patterns
1. Digital tracking technologies have considerably increased the amount and quality of animal trajectories, enabling the study of habitat use and habitat selection at a fine spatial and temporal scale. However, current approaches do not... more
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      Spatio Temporal AnalysisData VisualizationSequential Pattern MiningRoe Deer
Dedicated to my parents.
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    •   5  
      Data MiningProcess MiningPetri NetsSequential Pattern Mining
Indian economy has been recording impressive growth rates since 1991. This can be partly attributed to the multi-sector structural reforms aimed at enhancing productivity, efficiency and international competitiveness of the economy. The... more
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    •   11  
      Fiscal policySequential Pattern MiningExternal DebtFinancial Institutions
Sign languages have two strikingly different kinds of morphological structure: sequential and simultaneous. The simultaneous morphology of two unrelated sign languages, American and Israeli Sign Language, is very similar and is largely... more
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    •   6  
      Cognitive ScienceSign LanguageLinguisticsLanguage
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    •   2  
      Technology and SocietySequential Pattern Mining
In this paper we describe a method to discover frequent behavioral patterns in event logs. We express these patterns as local process models. Local process model mining can be positioned in-between process discovery and episode /... more
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    •   12  
      Data MiningProcess MiningBusiness Process ModelingPetri Nets
Gender issues have been present in the traditional negotiation field for a long time, as it has become common for women to play key roles in business. However, few studies have investigated this issue in online situations. Since online... more
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    •   6  
      Content AnalysisSequential Pattern MiningFace to FaceGender Issues
Multi-dimensional databases have been designed to provide decision makers with the necessary tools to help them understand their data. Compared to transactional data, this framework is particular as the datasets contain huge volumes of... more
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    •   4  
      Sequential Pattern MiningHierarchyDecision MakerFrequent Pattern
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    •   2  
      Technology and SocietySequential Pattern Mining
– Building Information Modeling (BIM) and its implementation in Architecture, Engineering and Construction (AEC) industry is rapidly growing all over the US. The growing utilization of BIM application has resulted in accumulation of... more
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    •   4  
      Data MiningPerformanceBuilding Information Modeling (BIM) (Architecture)Sequential Pattern Mining
Sign languages have two strikingly different kinds of morphological structure: sequential and simultaneous. The simultaneous morphology of two unrelated sign languages, American and Israeli Sign Language, is very similar and is largely... more
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    •   6  
      Cognitive ScienceSign LanguageLinguisticsLanguage
There is difficulty in detecting repetitive behavior for a company in order to identify regularities in businesses and inability to determine meta patterns as a group of events that lead to particular deviations in customers" behavior.... more
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    •   5  
      Artificial IntelligenceData MiningRecommender SystemsRetail Marketing
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mining, and sequential pattern mining. Sequential pattern... more
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    •   8  
      Data MiningSequential Pattern MiningNatural languageAssociation Rule Mining
Data products (macrodata or tabular data and microdat ¥ a or raw data records), are designed to inform public or bus ¦ iness policy, and research or public information. Securi § ng these products against unauthorized acces ses has been a... more
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    •   6  
      Machine LearningData MiningDatabase SecuritySequential Pattern Mining
Different carbon sources affecting growth and lipase production in Candida rugosa were studied by using batch cultures on defined medium. Carbohydrates and acids non-related to fats did not induce lipase production. The highest yields of... more
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      Environmental BiotechnologySequential Pattern MiningEnzymeFatty Acid
In this paper, we use Sequential Pattern Mining from Probabilistic Databases to learn trajectory patterns. Trajectories which are a succession of points are firstly transformed into a succession of zones by grouping points to build the... more
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    •   4  
      Data MiningProbabilistic DatabasesSequential Pattern MiningTrajectory Patterns
A multidisciplinary analysis (microfacies, sequential stratigraphy and clay mineralogy) was made on Frasnian/Famennian (F/F) boundary strata of the Steinbruch Schmidt section in Western Germany. Three major microfacies are recognised.... more
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    •   13  
      Evolutionary BiologyPalaeogeographyGeologyEcology
In this chapter we present an overview of Web personalization process viewed as an application of data mining requiring support for all the phases of a typical data mining cycle. These phases include data collection and preprocessing,... more
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    •   7  
      Data MiningWeb PersonalizationSequential Pattern MiningData Collection
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are generally considered as bags of words without any order.... more
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    •   11  
      Machine LearningText MiningNeural NetworkSequential Pattern Mining
This paper presents a data mining approach for describing Satellite Image Time Series (SITS) spatially and temporally. It relies on pixel-based evolution and sub-evolution extraction. These evolutions, namely the {frequent grouped... more
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    •   6  
      Data MiningTime SeriesTime series analysisSequential Pattern Mining
Sequential pattern mining is an important research area in data mining field for extracting useful knowledge from sequence databases. In this paper, we have proposed a Tree based sequential pattern mining algorithm which can generate... more
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    • Sequential Pattern Mining
This paper is concerned with the STULONG 1 dataset, one of the data collections available for the PKDD Discovery Challenge 2004. This dataset is the result of a twenty-year longitudinal study of risk factors related to atherosclerosis in... more
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      Data MiningSequential Pattern MiningData CollectionRisk factors
Aggressive behavior in male and female mice occurs in conflicts with intruding rivals, most often for the purpose of suppressing the reproductive success of the opponent. The behavioral repertoire of fighting is composed of intricately... more
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    •   14  
      GeneticsAggressive BehaviorSerotoninSequential Pattern Mining
The discovery of frequent sequences in temporal databases is an important data mining problem. Most current work assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old... more
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    •   7  
      Data MiningSequential Pattern MiningKnowledge DiscoveryInteractive Learning Environment
Previous studies on mining sequential patterns have focused on temporal patterns specified by some form of propositional temporal logic. However, there are some interesting sequential patterns whose specification needs a more expressive... more
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    •   6  
      Information SystemsTemporal Data MiningSequential Pattern MiningBoolean Satisfiability
Indian economy has been recording impressive growth rates since 1991. This can be partly attributed to the multi-sector structural reforms aimed at enhancing productivity, efficiency and international competitiveness of the economy. The... more
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    •   11  
      Fiscal policySequential Pattern MiningExternal DebtFinancial Institutions
Intelligent Database Systems Research Lab. School of Computing Science, Simon Fraser University Burnaby, BC, Canada V5A 1S6 E-mail: {peijian, han, mortazav, hlpinto}@cs.sfu.ca ... Qiming Chen Umeshwar Dayal Mei-Chun Hsu Hewlett-Packard... more
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    •   5  
      Data MiningDNASequential Pattern MiningFrequency
Text mining is a technique that helps user find useful information from a large amount of digital text document. Most existing text mining methods adopted term-based approaches, but they all suffer from the problem of polysemy and... more
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    •   6  
      Information RetrievalDesignPerformanceSequential Pattern Mining
In the traditional harmonic s),nta.x of classical music, temporal patterns of chords vao, in length, they often nest one within another, and they may lack overt markers indicating pattern boundaries. Tire selJ:organized learning of such... more
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    •   12  
      Pattern RecognitionSyntaxNeural NetworksMusic Cognition
Content adaptation on the Web is aimed at reducing the total amount of information served by a site or application to the items matching the needs/preferences/tastes of a specific user. As a major trend thereof, recommender systems... more
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      Sequential Pattern MiningRecommender SystemDomain KnowledgeDomain Ontology
Sequential rule mining is an important data mining task with wide applications. However, current algorithms for discovering sequential rules common to several sequences use very restrictive definitions of sequential rules, which make them... more
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      Sequential Pattern MiningKnowledge BasedAssociation Rule MiningKnowledge Based Systems
Sequential pattern mining is an important data mining problem with broad applications. However, it is also a difficult problem since the mining may have to generate or examine a combinatorially explosive number of intermediate... more
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      Data MiningPerformance AnalysisSequential Pattern MiningScalability
Intrusion of network which couldn't be analyzed, detected and prevented may make whole network system paralyze while the abnormal detection can prevent it by detecting the known and unknown character of data. Many intrusions aren't... more
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      Data MiningSequential Pattern MiningAprioriTime interval
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    •   9  
      Computer ScienceDatabase Management SystemsSequential Pattern MiningFrequent Pattern Mining
The increasing abundance of data about the trajectories of personal movement is opening up new opportunities for analyzing and mining human mobility, but new risks emerge since it opens new ways of intruding into personal privacy.... more
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    •   5  
      PrivacyAnonymityPattern MiningSequential Pattern Mining
This paper presents preliminary work in using data mining techniques to find interesting spatio-temporal patterns from Earth Science data. The data consists of time series measurements for various Earth science and climate variables (e.g.... more
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    •   18  
      Data MiningTime SeriesClimate variabilityGlobal Warming
We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real usage data indicate that more restrictive patterns, such as... more
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    •   6  
      Data MiningWeb PersonalizationSequential Pattern MiningFrequent Itemset Mining
This paper proposes Logical Matching Strategy for sequential pattern matching. We show the two real-world applications of the method: (1) locate repeating sequential pattern and (2) alignment-free comparison of sequential pattern of... more
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    •   6  
      Cognitive ScienceSequential Pattern MiningPattern MatchingApplied artificial intelligence
Sequential pattern mining algorithms produce an exponential number of sequential patterns when mining long patterns or at low support thresholds. Most of the existing algorithms mine the full set of sequential patterns. However, it is... more
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    •   3  
      Data MiningSequential Pattern MiningSequence Database
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    •   7  
      Computer ScienceSequential Pattern MiningData AnalyticsFrequent Pattern Mining
— Cloud computing refers to the practice of transitioning computer services such as computation or data storage to multiple redundant offsite locations available on the Internet, which allows application software to be operated using... more
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    •   6  
      Data MiningClustering and Classification MethodsVoluntary AssociationsKnowledge Discovery in Databases
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    •   23  
      GlobalizationClimate ChangeClimate variabilityFisheries Management
The inability to capture sequential patterns is a typical drawback of predictive classification methods. This caveat might be overcome by modeling sequential independent variables by sequence-analysis methods. Combining classification... more
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    •   18  
      ModelingDecision Support SystemsCustomer Relationship ManagementSequence Analysis