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1
Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu
Published 2014“…The success evaluation of data mining classification algorithms have been realized through the data mining programs Weka and RapidMiner. …”
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2
Clustering algorithm for market-basket analysis : the underlying concept of data mining technology
Published 2003“…The clustering algorithm based on Small Large Ratios, SLR is presented in a manner that helps to understand the concept of data mining technology in marketbasket analysis. …”
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3
Web usage mining for UUM learning care using association rules
Published 2004“…The enormous content of information on the World Wide Web makes it obvious candidate for data mining research. Application of data milling techniques to the World Wide Web referred as Web mining where this term has been used in three distinct ways; Web Content Mining, Web Structure Mining and Web Usage Mining. …”
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4
Modifying iEclat algorithm for infrequent patterns mining
Published 2018“…This paper proposes an enhancement algorithm based on iEclat algorithms for mining infrequent pattern.…”
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5
Web Usage Mining for UUM Learning Care Using Association Rules
Published 2004“…The enormous of information on the World Wide Web makes it obvious candidate for data mining research. Application of data mining techniques to the World Wide Web referred as Web mining where this term has been used in three distint ways; Web Content Mining, Web Structure Mining and Web Usage Mining. …”
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6
An efficient algorithm to discover large and frequent itemset in high dimensional data
Published 2019“…Mining these data produces an explosive number of smaller itemsets which are less important than colossal (large) ones. …”
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Monograph -
7
DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…The project's objective is identifying the available data mining algorithms in data classification and applying new data mining algorithm to perform classification tasks. …”
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Final Year Project -
8
Direct approach for mining association rules from structured XML data
Published 2012“…Having the ability to extract information from XML data would answer the problem of mining the web contents which is a very useful and required power nowadays. …”
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9
Frequent Lexicographic Algorithm for Mining Association Rules
Published 2005“…Association rule mining is one of the data mining techniques which discovers strong association or correlation relationships among data. …”
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10
Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin
Published 2012“…However, this is a step stone towards developing a biological-inspired Sentiment Mining algorithm…”
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11
RELMARK: An innovative algorithm for preprocessing of transactional business data
Published 2015“…The experiments using synthetic and real world data demonstrate the effectiveness of the algorithm.…”
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12
Modifying iEclat algo ithm for infrequent patterns mining
Published 2018“…This paper proposes an enhancement algorithm based on iEclat algorithms for mining infrequent pattern.…”
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Conference or Workshop Item -
13
Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin
Published 2006“…Data mining can discover patterns or rules from a vast volume of data. …”
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14
Comparative study of apriori-variant algorithms
Published 2016“…Handling and processing this “big data” demand powerful data mining methods and analysis tools that can turn data into useful knowledge. …”
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15
Prime-based method for interactive mining of frequent patterns
Published 2010“…Moreover, this study introduces a mining algorithm called PC-miner to mine the mining model frequently with various values of minsup. …”
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16
A data mining approach to construct graduates employability model in Malaysia
Published 2011“…This study is to construct the Graduates Employability Model using classification task in data mining. To achieve it, we use data sourced from the Tracer Study, a web-based survey system from the Ministry of Higher Education, Malaysia (MOHE) for the year 2009. …”
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17
Evaluation of data mining models for predicting concrete strength
Published 2024“…The data mining models used in this project are (i) Decision Tree, (ii) AdaBoost, (iii) XGBoost, (iv) Bagging Regressor and (v) Artificial Neural Network. …”
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Final Year Project / Dissertation / Thesis -
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A web usage mining approach based on LCS algorithm in online predicting recommendation systems
Published 2008“…During their navigation Web users leave many records of their activity. This huge amount of data can be a useful source of knowledge. Advanced mining processes are needed for this knowledge to be extracted, understood and used. …”
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19
HYBRID: an efficient unifying process to mine frequent itemsets
Published 2018“…Data mining is the process of extracting useful information from this flooded data, which helps in making profitable future decisions in these fields. …”
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Proceeding Paper -
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Exploratory analysis with association rule mining algorithms in the retail industry / Alaa Amin Hashad ... [et al.]
Published 2024“…Data pre-processing was performed to clean and encode the data to be used in the model. …”
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