Search Results - affecting ((commitment techniques) OR (((computing techniques) OR (mining techniques))))
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1
Review of firewall optimization techniques
Published 2018“…Suggestion to combine the removing anomalies technique and data mining technique to enhance firewall performance further is also mention in this paper. …”
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Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman
Published 2014“…This paper proposed one of the Evolutionary Computation (EC) components which is Particle Swarm Optimization (PSO) in solving a problem of unit commitment (UC). …”
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Comparing the performance of winsorize tree to other data mining techniques for cases involving outliers
Published 2019“…The results obtained from five real datasets indicate that the proposed winsorize tree performs as good as or even better compare to the other data mining techniques based on the misclassification rate.…”
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The Impact of Missing Value Methods and Normalization Techniques on the Performance of Data Mining Models
Published 2011“…Hence, several normalization techniques had been explored to compare which techniques suitable in each of the three datasets. …”
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Determining the Effect of Curriculum and Facilities on Academic Achievement Using Data Mining Approach
Published 2008“…Thus, this study applied data mining technique to identify the hidden information that affects the academic achievement among respondents. …”
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An investigation into influence factor of student programming grade using association rule mining
Published 2010“…Data mining is a data analysis technique that able to discover hidden knowledge in database. …”
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Subjectivity analysis in opinion mining - A systematic literature review
Published 2017“…Subjectivity analysis determines existence of subjectivity in text using subjective clues.It is the first task in opinion mining process.The difference between subjectivity analysis and polarity determination is the latter process subjective text to determine the orientation as positive or negative.There were many techniques used to solve the problem of segregating subjective and objective text.This paper used systematic literature review (SLR) to compile the undertaking study in subjective analysis.SLR is a literature review that collects multiple and critically analyse multiple studies to answer the research questions.Eight research questions were drawn for this purpose.Information such as technique,corpus,subjective clues representation and performance were extracted from 97 articles known as primary studies.This information was analysed to identify the strengths and weaknesses of the technique,affecting elements to the performance and missing elements from the subjectivity analysis.The SLR has found that majority of the study are using machine learning approach to identify and learn subjective text due to the nature of subjectivity analysis problem that is viewed as classification problem.The performance of this approach outperformed other approaches though currently it is at satisfactory level.Therefore,more studies are needed to improve the performance of subjectivity analysis. …”
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Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection
Published 2008“…Sequential pattern mining is a new branch of data, mining science that solves inter-transaction pattern mining problems. …”
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Investigating the factors of committing crime by foreign workers using fuzzy techniques / Norwaziah Mahmud ... [et al.]
Published 2022“…Crime rate will not decrease if the factors that influence foreign workers to commit crimes remain unclear and unexplored. Many factors are affecting the foreign workers to commit crime. …”
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Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin
Published 2012“…Currently, there are many techniques available in order to harvest necessary sentiment values. …”
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Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection
Published 2008“…Sequential pattern mining is a new branch of data, mining science that solves inter-transaction pattern mining problems. …”
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12
Prediction of diabetic retinopathy among type ii diabetic patients using data mining techniques / Zuraida Khairudin … [et al.]
Published 2020“…The booming of database and digital storage technology creates an abundance of health records. Thus, data mining techniques helps uncover meaningful patterns while attending to sensitivity health record issues. …”
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A WEB-BASED TOOL FOR TEST BANK QUESTIONS SELECTION BASED ON CLASSIFICATION MODEL
Published 2015“…Therefore, this project aims to develop a web-based question generator tool by using predictive data mining techniques. The classification model in this tool is applying the concept of data mining classification method, known as Naive Bayes Classification to classify the questions in datasets. …”
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Final Year Project Report / IMRAD -
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Pattern extraction for programming performance evaluation using directed apriori
Published 2009“…Several researches indicated that there are many factors which can affect student programming performance.Thus, the objective of this paper is to investigate the significant factors that may influence students programming performance using information from previous student performance.Since data mining data analysis able to discover hidden knowledge in database, a programming dataset which comprises information about performance profile of Bachelor of Information Technology students of Faculty of IT, Universiti Utara Malaysia in the year 2004-2005 were explored using data mining technique.The dataset consists of 421 records with 70 mixture type of attributes were pre-processed and then mined using directed association rule (AR) mining algorithm namely apriori.The result indicated that the student who has a programming experience in advanced before starts learn programming in university and scored well in Mathematics and English subject during SPM were among the factor that contributes to a good programming grades.…”
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Classification of stock market index based on predictive fuzzy decision tree
Published 2005“…Therefore, predicting stock price movements is quite difficult. Data mining techniques are able to uncover hidden patterns and predict future trends and behaviors in financial markets. …”
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17
Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques
Published 2014“…The simulation results showed that the proposed optimization mechanism outperforms the relevant optimization techniques by (1) generating the highest overall QoS ratio solutions, (2) consuming the smallest computation time, and (3) producing the lowest percentage of constraints violated number.…”
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Attribute related methods for improvement of ID3 Algorithm in classification of data: A review
Published 2020“…Implementation of the techniques with ID3 algorithm is being discussed thoroughly.…”
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pSPADE: Mining sequential pattern using personalized support threshold value
Published 2008“…As the web log data is considered as complex and temporal, applying Sequential Pattern Mining technique becomes a challenging task.The min sup threshold issue is highlighted - as a pattern is considered as frequent if it meets the specified min sup.If the min sup is high, few patterns are discovered else the mining process will be longer if too many patterns generated using low min sup. …”
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Data Mining and Prediction Tools (for Predicting Stndents' Success in Programming Course)
Published 2011“…This project will use the data mining approach and techniques in analyzing different types of data gathered from different educational settings. …”
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Final Year Project