[PDF] Top 20 Distributed Data Mining by associated rules: Improvement of the Count Distribution algorithm
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Distributed Data Mining by associated rules: Improvement of the Count Distribution algorithm
... for the pruning phase of all candidates is to eliminate a candidate to step (k +1), if it is also one of its frequent k-subset to step ...reduces the number of candidates generated at ... See full document
9
Finding Association Rules through Efficient Knowledge Management Technique
... ARU algorithm, which outperforms the TBAR ...proposed algorithm will be able to maintain large items sets by reusing the large item sets found through the initial mining ... See full document
4
investigation of source code mining using novel code mining parameter matrix: recent state of art
... Rule Mining Method: Use of Data Mining rules for establishing the correlation and prediction of software defects from the software matrices are also been proposed ... See full document
10
A pragmatic approach on association rule mining and its effective utilization in large databases
... with the effective utilization of association rule mining algorithms in large databases used for especially business organizations where the amount of transactions and items plays a ... See full document
10
Associated Sensor Patterns Mining of Data Stream from WSN Dataset
... knowledge by considering the non- binary frequency from sensor databases or ...association rules to extract the knowledge for frequency ...capture the temporal relationships among ... See full document
6
The profile of beta thalassemia obtained by data mining analysis in a database.
... database of human hemoglobin variants and thalassemia mutations at the globin gene ...database of human hemoglobin variants and thalassemias, summaries of mutation ... See full document
2
Software Architecture of a Learning Apprentice System in Medical Billing
... all the rules on a given claim and finds out errors and ...part associated to it. Each rule has been implemented as ‘where’ clause of a SQL query [14] and ‘select’ portion of the ... See full document
5
Carlos Carvalho Niels Arne Dam Jae Won Lee
... about the Taylor pricing model is in ...infer the cross- sectional distribution of price stickiness implied by aggregate ...with the microeconomic evidence on the duration ... See full document
57
Multidimensional Service Weight Sequence Mining based on Cloud Service Utilization in Jyaguchi
... utilize the Jyaguchi cloud [7],[12],[14] system. The term Jyaguchi was introduced by the author [7] and was derived from the Japanese language, in which the term means “an outlet ... See full document
6
Tuning, Diagnostics & Data Preparation for Generalized Linear Models Supervised Algorithm in Data Mining Technologies
... followed by standardization) can increase the build data size because the resulting data representation is dense, in case of high cardinality categorical ...where the ... See full document
4
Meta-stable Solidification Created by the Detonation Method of Coating Formation
... Particles of the Fe-Al type (less than 50 m in diameter) were sprayed onto the 045 steel substrate by means of the detonation ...method. The TEM, SAED and EDX analyses ... See full document
4
FAST REAL TIME ANALYSIS OF WEB SERVER MASSIVE LOG FILES USING AN IMPROVED WEB MINING ARCHITECTURE
... clustering algorithm. In our web usage mining area many researchers have proved that their databases must be efficient from the Ref of “Similarity measure to identify only user’s profiles in ... See full document
9
Calculating the uncertainty associated to the forecast of species dispersals: Stochastic Flow Connectivity
... Flow Connectivity Predicting biotic flows over landscape 2013 Ferrarini A. 2013 Reverse Flow Connectivity Assigning true-to-life friction values to biotic flows 2014 Ferrarini A. 2014 Backward Flow Connectivity Tracing ... See full document
9
Efficient Retrieval of Text for Biomedical Domain using Expectation Maximization Algorithm
... Data mining, a branch of computer science [1], is the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence ... See full document
5
An Electronic Market Space Architecture Based On Intelligent Agents And Data Mining Technologies
... discovered by data mining that will be useful for this agency are: asso- ciation rules, clusters and classification ...rules. The association rules will help agents to ... See full document
4
TDSGenerator-A Tool for generating synthetic Transactional Datasets for Association Rules Mining
... in the department of Computer Science and Engineering at Thapar Institute of Engineering & Technology (Deemed University), ...Institute of Engineering & Technology in 1996 as a Systems ... See full document
5
The Impact of the Expansion of the Bolsa Familia Program on the Time Allocation of Youths And Their Parents Lia Chitolina Miguel Nathan Foguel Naercio Menezes-Filho
... evaluates the impact of the 2007 expansion of the Bolsa Família program to families with youths aged 16 to 17 years (entitled Benefício Variável Jovem) on the time allocation ... See full document
39
Intelligent Decision System Based on PA-AKD Approach of D3M
... to the rapid advancement of electronic commerce and web technologies in recent years, the concepts and applications of decision support systems have been significantly ...extended. The ... See full document
5
Geographic Spatiotemporal Dynamic Model using Cellular Automata and Data Mining Techniques
... applying data mining techniques. Three data mining techniques were applied, namely finding sequential patterns in the data, clustering analysis of the pattern, and ... See full document
9
Handwriting and Speech Prototypes of Parkinson Patients: Belief Network Approach
... Concerning the voice of PDP, many articles indicated a voice tremor, poor vocal fold closure and reduced ...patterns of the vocal folds [16, 17], [18] specify a reduced range of vowel ... See full document
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