Search Results - (( data estimation using algorithm ) OR ( data application mining algorithm ))*
Search alternatives:
- application mining »
- data application »
- mining algorithm »
- data estimation »
- using algorithm »
-
1
-
2
Estimating 1-MCP application for Kampuchea guava with data mining technology
Published 2018“…The classification models can then be used for estimating the 1-MCP application fast whenever there are new data available. …”
Get full text
Get full text
Get full text
Article -
3
Datasets Size: Effect on Clustering Results
Published 2013“…We modeled each subset of our data using EM clustering algorithm; two different numbers of partitions (k) were estimated and used for each experiment. …”
Get full text
Get full text
Conference or Workshop Item -
4
Using language-based search in mining large software repositories
Published 2011“…The retrieved data were later used to estimate the quality of the open source software.…”
Get full text
Get full text
Get full text
Proceeding Paper -
5
Using language-based search in mining large software repositories
Published 2011“…The retrieved data were later used to estimate the quality of the open source software.…”
Get full text
Get full text
Get full text
Article -
6
Thematic textual hadith classification: an experiment in rapidminer using support vector machine (SVM) and naïve bayes algorithm
Published 2020“…We believe that the result could be better by improving the data, algorithms, algorithm tuning or ensemble methods for the future experiments…”
Get full text
Get full text
Get full text
Get full text
Article -
7
Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
Get full text
Get full text
Get full text
Thesis -
8
Density subspace clustering: a case study on perception of the required skill
Published 2014“…In the early stage, the present research estimates density dimensions and the results are used as input data to determine the initial cluster based on density connection, using DBSCAN algorithm. …”
Get full text
Get full text
Thesis -
9
Decision Support Approach to Computerize Maintenance Management System: Development and Implementation in Food Processing Industry
Published 2008“…In fact, these downtimes can be forecasted and managed more effectively if an organization takes preemptive measures using artificial intelligence techniques such as data mining, neural networks, genetic algorithm etc. …”
Get full text
Get full text
Article -
10
Mining The Basic Reproduction Number (R0) Forecast For The Covid Outbreak
Published 2022“…The COVID-19 Basic Reproduction Number, R0 a predictive model is developed using a linear regression classification algorithm to predict the COVID-19 Basic Reproduction Number, Robased on the actual COVID-19 Basic Reproduction Number, R0. …”
Get full text
Get full text
Monograph -
11
Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Two publicly activity datasets are used; Wireless Sensor Data Mining (WISDM) and Physical Activity Monitoring for Aging People (PAMAP2). …”
Get full text
Get full text
Thesis -
12
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. …”
Get full text
Get full text
Thesis -
13
Modifying iEclat algorithm for infrequent patterns mining
Published 2018“…Pattern ruining has been extensively studied in research due to its successful application in several data mining scenarios. Association rules mining is a basic step to determine the correlation between data items based on frequency of occurrence. …”
Get full text
Get full text
Conference or Workshop Item -
14
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. …”
Get full text
Get full text
Get full text
Thesis -
15
Modifying iEclat algo ithm for infrequent patterns mining
Published 2018“…Pattern ruining has been extensively studied in research due to its successful application in several data mining scenarios. Association rules mining is a basic step to determine the correlation between data items based on frequency of occurrence. …”
Get full text
Get full text
Conference or Workshop Item -
16
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. …”
Get full text
Get full text
Thesis -
17
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. …”
Get full text
Get full text
Final Year Project -
18
-
19
-
20
Comparative study of apriori-variant algorithms
Published 2016“…One of data mining methods is frequent itemset mining that has been implemented in real world applications, such as identifying buying patterns in grocery and online customers’ behavior.Apriori is a classical algorithm in frequent itemset mining, that able to discover large number or itemset with a certain threshold value. …”
Get full text
Get full text
Get full text
Conference or Workshop Item
