transactional database
A New Approach for Finding Maximally Frequent Set in Transactional Database
... sorted transactional database to reduce its size using ...of transactional database gets reduced to 2n (where n is number of items) from billions of transactional ...reduced ...
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AN APPROACH TO EXTRACT EFFICIENT FREQUENT PATTERNS FROM TRANSACTIONAL DATABASE
... Due to the wide availability of huge amounts of data and imminent need for turning such data into useful information and knowledge, data mining has attracted a great deal of attention in the information industry in ...
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BSS Homomorphic Encryption: A Privacy model for large transactional database
... Fake Patterns: The size of fake transactions added to the database after encryption. For example, in encrypted chess data for k = 30, is only 80% larger than chess dataset. It observe that the size of fake ...
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Application of Incremental Mining and Apriori Algorithm on Library Transactional Database
... Frequent item set mining and association rule induction [3] are powerful methods for the market basket analysis, which aims to find regularities in the shopping behavior of customers of supermarkets, mail-order ...
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Multidimensional Quantitative Rule Generation Algorithm for Transactional Database
... large transactional database is a very crucial ...the transactional data sets considering the time and the memory ...Medical database, Bank database and other databases to bring out the ...
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Stress Testing of Transactional Database Systems
... The constant race for productivity leads to deploy systems upon workloads that become quickly much beyond the boundaries they were originally designed for. A natural question is how to validate those systems, with a ...
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Mining Frequent Itemsets in Transactional Database
... Data mining refers to discovering knowledge in huge amounts of data. The idea is to seek for something called knowledge, which means regularities, rule and structure hidden in the data. Association rule mining is one of ...
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An Efficient and Scalable UP Growth Algorithm with Optimized Threshold (min util) for Mining High Utility Item sets from Transactional Database
... transactional database is an emerging concept in data mining which refers to the discovery of knowledge like high utility itemsets (profits) with user-specified minimum utility threshold ...
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Distributed query execution system for Transactional Database using Lookup Table
... A lookup table holds information about the partitions on which a set of tuples are stored. In the table , each tuple is identified by the value of some key attributes, and partitions are represented by an integer ...
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Program Analysis and Compilation Techniques for Speeding up Transactional Database Workloads
... The rationale for proposing MV3C is that a conflict happens only if a transaction reads some data objects from the database that become stale by the time it tries to commit. Here, the assumption is that all data ...
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Fast Mining of Finding Frequent Patterns in Transactional Database using Incremental Approach
... circumstances, database is updated periodically, continuously and minimum support frequently changes with wants of ...into database or mining parameter is ...and database simultaneously, which shuns ...
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Implementation and Performance analysis UP Growth for Mining High Utility Itemsets in Transactional Database
... the database must be of all the all the more proposing to the customer from the business ...a database is known as the utility of that ...exchange database is addressed by a matched regard, without ...
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A Proficient Technique for Extraction the High Average Utility Itemsets with Enhanced Bounds From Transactional Database
... Abstract: HUIM has turned into a well known knowledge extraction, as it can uncover designs that have a highutility, conversely to continuous example extraction, which spotlights on finding incessant examples. High ...
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FUFM-High Utility Itemsets in Transactional Database
... The customers who want to buy products must register with his/her personal information to the application. The user information are stored in the database and to maintain the user profile. To gain access to the ...
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HUI Miner Algorithms for Transactional Databases
... a database plays an essential role in several data mining techniques, such as frequent pattern mining, weighted pattern mining and high utility pattern ...a transactional database refers to the ...
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Relationship and Transactional Marketing Integration Aspects
... A self-administered structured questionnaire was de- veloped to collect quantitative data pertaining to aspects of marketing practice and both respondent and organiza- tional demographics. The questionnaire was designed ...
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Virtual communities on the web: Transactional learning and teaching
... has been axiomatic that the development and integration of skill and knowledge is one of the chief aims of education (Bloom 1956). It may be appropriate to focus at times on either skill or knowledge in the course of a ...
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Transactional Sex as a Response to Risk in Western Kenya
... The results of this study also have important implications for understanding the spread of HIV/AIDS, and in designing interventions to limit its spread. In sub-Saharan Africa, the risk of HIV/AIDS infection is enormous ...
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Hardware Transactional Memory for GPU Architectures
... concurrent transactional memory accesses, while shorter and fewer commits reduce the amount of time spent waiting at the ...on transactional work, indicated by TU and TA in Figure 9, is lower on KL than on ...
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Transactional Behaviour Based Spam Detection
... In this thesis, we propose a novel spam zombie detection method by presenting a new real-time machine learning based spam filtering technique that uses the Spamh[r] ...
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