Search Results - (( development observations mining algorithm ) OR ( java application mining algorithm ))
Search alternatives:
- development observations »
- application mining »
- mining algorithm »
- java application »
-
1
Direct approach for mining association rules from structured XML data
Published 2012Get full text
Get full text
Thesis -
2
-
3
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
Get full text
Get full text
Get full text
Article -
4
Improved Boosting Algorithms by Pre-Pruning and Associative Rule Mining on Decision Trees for predicting Obstructive Sleep Apnea
Published 2017“…An improved Boosting algorithm, named as Boosted PARM-DT, was developed by pre-pruning techniques and Associative Rule Mining (ARM) on decision trees built from the clinical datasets** collected for Obstructive Sleep Apnea (OSA). …”
Get full text
Get full text
Get full text
Article -
5
Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
7
Mining Sequential Patterns using I-PrefixSpan
Published 2008Get full text
Get full text
Citation Index Journal -
8
Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
9
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
Get full text
Get full text
Thesis -
10
An Automated System For Classifying Conference Papers
Published 2021“…A randomised stratified 5- fold cross validation was then applied on several data mining algorithms and evaluated using the F-measure as a metric. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
11
Prediction Of Leaf Mechanical Properties Based On Geometry Features With Data Mining
Published 2019“…The linear models and rules developed from the M5P algorithm were adopted for the FT indicator prediction modelling of 14 attributes. …”
Get full text
Get full text
Thesis -
12
-
13
-
14
-
15
Predicting heart disease using ant colony optimization / Siti Aisyah Ismail
Published 2021“…Thus, this study used the Ant Colony Optimization algorithm with data mining called Ant-Miner to predict heart disease because it is said that Ant-Miner’s rule list is simpler than other rule induction algorithms. …”
Get full text
Get full text
Student Project -
16
-
17
-
18
Application of Optimization Methods for Solving Clustering and Classification Problems
Published 2011“…Cluster and classification analysis are very interesting data mining topics that can be applied in many fields. …”
Get full text
Get full text
Thesis -
19
Ranking-based pruning and weighted support model for gene association in frequent itemsets / Sofianita Mutalib
Published 2019“…Biological domain is one of the critical areas that always seek for useful knowledge and patterns observed through available methods, including data mining. …”
Get full text
Get full text
Thesis -
20
Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…In the developed feature selection approach, multi-objective binary-valued backtracking search algorithm (MOBBSA) is used as an efficient evolutionary search algorithm to search within different combinations of input variables and selects the non-dominated feature subsets, which minimize simultaneously both the estimation error and the number of features. …”
Get full text
Get full text
Get full text
Thesis
