[PDF] Top 20 A MATRIX MODEL FOR MINING FREQUENT PATTERNS IN LARGE DATABASES
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A MATRIX MODEL FOR MINING FREQUENT PATTERNS IN LARGE DATABASES
... all frequent 1 and 2–itemsets simultaneously by examining all n ...other frequent k-patterns, n>k>2 are generated from the reference matrix of size m, where m is the total number of ... See full document
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Efficient Tree Based Distributed Data Mining Algorithms for mining Frequent Patterns
... mine frequent patterns from distributed and dynamic ...for mining Frequent patterns trough parallel and distributed mining mainly finds its roots as Apriori based, and inherits ... See full document
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An Improved Algorithm for Efficient Mining of Frequent Item Sets on Large Uncertain Databases
... basket databases, contain statistical information for predicting what a customer will buy in the future [3], ...extracting patterns from unstructured data ...a large amount of uncertain data, ... See full document
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Mining Frequent Closed Patterns using Samplegrowth in Resource Effectiveness Data
... value matrix of resources sampled in a period of time, how to mine the required resource pattern from these data efficiently is vital for health management of the ...data mining technology can mine various ... See full document
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Mining Frequent Subgraph by Incidence Matrix Normalization
... Data mining is the process of automatically extracting new and useful knowledge hidden in large ...data mining algorithms on such data like graphs. The problem of frequent subgraph ... See full document
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Effective Data Structure for Mining Frequent Itemset in Cloud Databases
... and frequent transaction ...proposed model increases the performance of data retrieval in ...the frequent transactions for downloading required data quickly. Frequent transactions are ... See full document
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Frequent Itemsets Mining on Large Uncertain Databases: Using Rule Mining Algorithm
... The frequent itemsets discovered from uncertain data are naturally probabilistic, in order to reflect the confidence placed on the mining ...the mining results, the frequent itemsets ... See full document
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Comparative Study on Algorithms of Frequent Itemset Mining
... pattern mining searches for recurring relationships in a given data set. Frequent pattern mining is used for the discovery of interesting associations and correlations between itemsets in ... See full document
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INCMARFI: MINING MAXIMAL REGULAR FREQUENT ITEMSETS IN INCREMENTAL DATABASES
... maximal patterns just like in DepthProject ...a large portion of the subset search ...non-maximal patterns and uses diffset propogation to perform fast frequency ...incremental mining ... See full document
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TEMPORAL DATABASES AND FREQUENT PATTERN MINING TECHNIQUES
... Data mining is the process of exploring and analyzing data from different perspective, using automatic or semiautomatic techniques to extract knowledge or useful information and discover correlations or meaningful ... See full document
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Mining High Utility Patterns in Large Databases using Mapreduce Framework
... traditional frequent patterns in a database cannot satisfy the requirement of finding the most valuable item sets/customers that contribute to the major part of the total profits in a retail ...a ... See full document
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Mining Sequential Patterns with Multiple Minimum Support for Large Sequence Databases
... pattern mining is an important model in data mining. Its mining algorithms discover all item sets in the data that satisfy the user-specified minimum support (minsup) and minimum confidence ... See full document
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MINING ASSOCIATION RULES IN LARGE DATABASES
... Database mining is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database ... See full document
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Parallel Mining of Frequent Patterns in Transactional Databases
... The second method has some advantages and some disadvantages in comparison with the first method. The main advantage of this method is that it needs too much fewer communications among the processors. It has a ... See full document
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An Efficient Associated Correlated Bit Vector Matrix for Mining Behavioral Patterns from Wireless Sensor Network
... a large amount of data in the form of ...behavioral patterns that mean associated patterns from wireless sensor networks dataset can be highly useful in applications that require a fine-grain ... See full document
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An Efficient Algorithm for Mining Maximal Frequent Sequential Patterns in Large Databases
... Figure 4-1 shows the execution time of the MFSGrowth and GSP at different frequency thresholds, with a data set size of 1142. Figure 4-2 shows the execution time under different experimental datasets, with the threshold ... See full document
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Overview of Association Rule Based on Pattern Mining
... Pattern mining is a way of obtaining undetected patterns or facts from massive amount of data in a ...rule mining is a major technique in the area of pattern ...rule mining finds ... See full document
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Novel Algorithms TempCIPFP for Mining Frequent Patterns using Counting Inference from Probabilistic Temporal Databases and Future Possibilities
... for Mining Frequent Patterns using Counting Inference from Probabilistic Temporal Databases and we also discussed future ...discovering frequent itemsets and association-rules ... See full document
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Using Hyper-structure mining to Ascertain Recurrent Patterns in Large Dataset R. D. Priyanka, Dr. R. Sabitha, T. Mythili
... Data mining (DM) is the process of exploration and analysis, by automatic or semiautomatic means, of large quantities of data in order to discover meaningful patterns and ...data mining is ... See full document
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Title: A Review on Efficient Mining of High Utility Itemsets from Transactional Database
... data mining area. Utility mining emerges as an important research topic in data mining ...sets mining refers to importance or profitability of an item to ...a large number of candidate ... See full document
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