sequential data
Discovering E-commerce Sequential Data Sets and Sequential Patterns for Recommendation
... a sequential dataset from different E-commerce source such as historical, ...databases; sequential purchase behavior of the user cannot be identified from transactional data without using a ...
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Merging particle filter for sequential data assimilation
... allow sequential data assimilation with acceptable computational cost, except some methods such as the EnKF and the SEIK filter which also have a disadvantage in that it is not necessarily appli- cable to ...
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An Event Group Based Classification Framework for Multi-variate Sequential Data
... for sequential data classification, mostly because feature generation needs to be integrated with the modelling procedure in order to avoid a localisation ...to sequential data of differing ...
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Topographical proximity: exploiting domain knowledge for sequential data mining
... input data, extracting sequences according to user-specified minimum and maximum sequence du- ration ...transaction data and, therefore, incorporates extra transaction-based constraints on vi- able ...
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Deep Markov Neural Network for Sequential Data Classification
... Modeling sequential data is an active research field (Lewis and Gale, 1994; Jain et ...for sequential data that is best known for speech recognition (Rabiner, ...
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Categorization of Sequential Data using Associative Classifiers
... itemset data, an interesting approach has been proposed ...the data well using the minimum description length (MDL) ...sequential data. The key issue in designing an MDL-based algorithm for ...
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Case Study: Outlier Detection on Sequential Data
... for sequential data ...of data incremental algorithm is ...high-dimensional data, data sparsity in high dimensional ...dimensional data, density distributions of projections can ...
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Linear-Time Computation of Similarity Measures for Sequential Data
... three data structures that were considered—sorted arrays, tries and generalized suffix trees—have asymptotically linear run-time, significant differences in the absolute run-time have been observed in our ...
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An Efficient Sequential Data Embedded Image Steganographic Approach
... Today it has turned into an approach to transmit interactive multimedia information by means of the all- pervasive Internet. By means of the imminent electronic trade, it has ended up amazingly vital to handle the ...
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SSM DENCLUE : Enhanced Approach for Clustering of Sequential Data: Experiments and Test Cases
... Web data , Web personalization has become one of the challenging task for the researchers and commercial ...Web data, modeling and categorization of these data (preprocessing phase), the analysis of ...
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Mining and Learning in Sequential Data Streams: Interesting Correlations and Classification in Noisy Settings
... streaming data that consists of symbols from possibly large alphabets, the second challenge is to accurately extract Conditional Heavy Hitters in real time with limited space ...
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On Near Optimality of One-sample Update for Joint Detection and Estimation
... 1 Although both fields, sequential analysis and online convex optimization, study sequential data, the precise connection between them is not clear, partly because the performance metric[r] ...
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Designing a Data Structure Utility List and High Utility Sequential Pattern for One phase in Data Mining
... In sequential pattern mining that pattern can maintain their ...in sequential manner without any duplication. Data mining consist extracting information from data stored in databases to ...
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Exploiting network topology in mining sequential patterns from telecommunications alarm data
... The GSP [9] and WINEPI [7] algorithms were the first to adapt the Apriori technique to mine for temporal associa- tion rules in sequential data. Both employ a sliding time window with a user-specified ...
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High-Performance AI: A View from Systems and Frameworks
... • The INDYCAR Timing system supports retrieving timing data from the primary timing system – serial or sequential data feed for live data and report querying for historical or archived d[r] ...
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Parallel Computing Mode in Homomorphic Encryption Using GPUs Acceleration in Cloud
... the data in cloud security ...large-scale data encryption based on CPU-GPUs hybrid system as fast as ...the sequential data encryption, sequential homomorphic addition, and ...
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Incremental Mining of Across-streams Sequential Patterns in Multiple Data Streams
... multiple data streams in a time period and mining sequential patterns in time sequence data stream ...stream data to reduce the gen- eration of surplus candidate sequences and combine the ...
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A model to predict the sequential behavior of healthy blood donors using data mining
... donors’ data, which was collected from blood transfusion ...the data. Four different data mining algorithms including a decision tree algorithm that it used as data mining technique ...the ...
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User Related Rare Sequential Topic Pattern Using Data Mining
... proposed Sequential Topic Patterns (STPs) mining over the distributed client mindful report streams and figure the issue of mining User Aware Rare Sequential Topic Patterns(URSTPs) in archive streams on the ...
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A Look at Sequential Normal Scores and How They Apply to Financial Data Analysis
... raw data shows not only an excessive numbers of outliers, very much in excess of the expected number for a 3-sigma chart, but also that there is no consistency in results over the different window sizes, almost ...
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