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Data Mining - Methods, Applications and Systems
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inferredcites →https://doi.org/10.1002/cae.22100openalex-snapshot
The use of tools of data mining to decision making in engineering education—A systematic mapping study
inferredcites →https://doi.org/10.1002/for.2487openalex-snapshot
Predicting US bank failures: A comparison of logit and data mining models
inferredcites →https://doi.org/10.1002/hfm.20398openalex-snapshot
Neural network and classification approach in identifying customer behavior in the banking sector: A case study of an international bank
inferredcites →https://doi.org/10.1002/isaf.1403openalex-snapshot
A two‐step system for direct bank telemarketing outcome classification
inferredcites →https://doi.org/10.1007/11599517_48openalex-snapshot
Multimedia Retrieval Using Time Series Representation and Relevance Feedback
inferredcites →https://doi.org/10.1007/3-540-45571-x_14openalex-snapshot
A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases
inferredcites →https://doi.org/10.1007/3-540-57301-1_5openalex-snapshot
Efficient similarity search in sequence databases
inferredcites →https://doi.org/10.1007/3-540-70659-3_77openalex-snapshot
A Hidden Markov Model-Based Approach to Sequential Data Clustering
inferredcites →https://doi.org/10.1007/978-0-85729-412-8_13openalex-snapshot
A Comparison of Generic Machine Learning Algorithms for Image Classification
inferredcites →https://doi.org/10.1007/978-3-319-02738-8_4openalex-snapshot
Modeling Student Performance in Higher Education Using Data Mining
inferredcites →https://doi.org/10.1007/978-3-319-09940-8_3openalex-snapshot
On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring
inferredcites →https://doi.org/10.1007/978-3-319-10590-1_53openalex-snapshot
Visualizing and Understanding Convolutional Networks
inferredcites →https://doi.org/10.1007/978-3-319-44406-2_27openalex-snapshot
Unsupervised Learning for Detecting Refactoring Opportunities in Service-Oriented Applications
inferredcites →https://doi.org/10.1007/978-3-642-23088-2_15openalex-snapshot
An Empirical Study on Using the National Vulnerability Database to Predict Software Vulnerabilities
inferredcites →https://doi.org/10.1007/978-981-16-8881-2_9openalex-snapshot
Neural Network and Deep Learning
inferredcites →https://doi.org/10.1007/bfb0014141openalex-snapshot
SLIQ: A fast scalable classifier for data mining
inferredcites →https://doi.org/10.1007/s00477-006-0094-xopenalex-snapshot
Optimization of groundwater-monitoring networks for identification of the distribution of a contaminant plume
inferredcites →https://doi.org/10.1007/s00521-015-2127-1openalex-snapshot
Neural network models for software development effort estimation: a comparative study
inferredcites →https://doi.org/10.1007/s10100-017-0479-6openalex-snapshot
A framework for sensitivity analysis of decision trees
inferredcites →https://doi.org/10.1007/s10462-011-9272-4openalex-snapshot
Decision trees: a recent overview
inferredcites →https://doi.org/10.1007/s10462-012-9339-xopenalex-snapshot
Neural network based models for software effort estimation: a review
inferredcites →https://doi.org/10.1007/s10586-017-0892-6openalex-snapshot
A parallel framework for software defect detection and metric selection on cloud computing
inferredcites →https://doi.org/10.1007/s10586-018-2420-8openalex-snapshot
Research on data mining of education technical ability training for physical education students based on Apriori algorithm
inferredcites →https://doi.org/10.1007/s10618-005-0028-0openalex-snapshot
A Bit Level Representation for Time Series Data Mining with Shape Based Similarity
inferredcites →https://doi.org/10.1007/s10664-008-9103-7openalex-snapshot
On the relative value of cross-company and within-company data for defect prediction
inferredcites →https://doi.org/10.1007/s10664-010-9138-4openalex-snapshot
Investigating the use of Support Vector Regression for web effort estimation
inferredcites →https://doi.org/10.1007/s10758-019-09408-7openalex-snapshot
Factors Affecting Students’ Performance in Higher Education: A Systematic Review of Predictive Data Mining Techniques
inferredcites →https://doi.org/10.1007/s10994-005-5825-6openalex-snapshot
Clustering Time Series with Clipped Data
inferredcites →https://doi.org/10.1007/s11219-016-9353-3openalex-snapshot
Software defect prediction: do different classifiers find the same defects?
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1007/s11390-017-1785-0openalex-snapshot
A Cluster Based Feature Selection Method for Cross-Project Software Defect Prediction
inferredcites →https://doi.org/10.1007/s11704-017-6015-yopenalex-snapshot
Combined classifier for cross-project defect prediction: an extended empirical study
inferredcites →https://doi.org/10.1007/s11704-017-6424-yopenalex-snapshot
Software design pattern mining using classification-based techniques
inferredcites →https://doi.org/10.1007/s13222-018-0285-xopenalex-snapshot
Data Change Exploration Using Time Series Clustering
inferredcites →https://doi.org/10.1007/s13748-016-0092-2openalex-snapshot
Data mining for software engineering and humans in the loop
inferredcites →https://doi.org/10.1016/0315-0860(74)90033-0openalex-snapshot
Gergonne's 1815 paper on the design and analysis of polynomial regression experiments
inferredcites →https://doi.org/10.1016/b978-0-12-775260-0.50006-2openalex-snapshot
CALCULUS OF FUZZY RESTRICTIONS
inferredcites →https://doi.org/10.1016/b978-0-12-801522-3.00018-5openalex-snapshot
Neural Networks and Deep Learning
inferredcites →https://doi.org/10.1016/j.artint.2008.12.002openalex-snapshot
Automatic generation of textual summaries from neonatal intensive care data
inferredcites →https://doi.org/10.1016/j.asej.2014.09.007openalex-snapshot
Extracting software static defect models using data mining
inferredcites →https://doi.org/10.1016/j.asoc.2014.10.027openalex-snapshot
Source code and design conformance, design pattern detection from source code by classification approach
inferredcites →https://doi.org/10.1016/j.asoc.2014.11.023openalex-snapshot
A systematic review of machine learning techniques for software fault prediction
inferredcites →https://doi.org/10.1016/j.asoc.2016.04.009openalex-snapshot
Effective multi-objective naïve Bayes learning for cross-project defect prediction
inferredcites →https://doi.org/10.1016/j.asoc.2016.04.032openalex-snapshot
An empirical framework for defect prediction using machine learning techniques with Android software
inferredcites →https://doi.org/10.1016/j.asoc.2016.05.008openalex-snapshot
A hybrid model for estimating software project effort from Use Case Points
inferredcites →https://doi.org/10.1016/j.asoc.2016.08.004openalex-snapshot
Software effort estimation based on the optimal Bayesian belief network
inferredcites →https://doi.org/10.1016/j.asoc.2017.04.043openalex-snapshot
Software design patterns classification and selection using text categorization approach
inferredcites →https://doi.org/10.1016/j.chb.2014.04.002openalex-snapshot
Developing early warning systems to predict students’ online learning performance
inferredcites →https://doi.org/10.1016/j.chb.2017.01.047openalex-snapshot
Evaluating the effectiveness of educational data mining techniques for early prediction of students' academic failure in introductory programming courses
inferredcites →https://doi.org/10.1016/j.compedu.2016.09.005openalex-snapshot
Models for early prediction of at-risk students in a course using standards-based grading
inferredcites →https://doi.org/10.1016/j.compedu.2017.05.007openalex-snapshot
Analyzing undergraduate students' performance using educational data mining
inferredcites →https://doi.org/10.1016/j.csbj.2014.11.005openalex-snapshot
Machine learning applications in cancer prognosis and prediction
inferredcites →https://doi.org/10.1016/j.csda.2007.06.001openalex-snapshot
Time series clustering and classification by the autoregressive metric
inferredcites →https://doi.org/10.1016/j.csi.2017.02.003openalex-snapshot
An empirical analysis of the effectiveness of software metrics and fault prediction model for identifying faulty classes
inferredcites →https://doi.org/10.1016/j.datak.2004.04.001openalex-snapshot
A note on web intelligence, world knowledge and fuzzy logic
inferredcites →https://doi.org/10.1016/j.dss.2014.03.001openalex-snapshot
A data-driven approach to predict the success of bank telemarketing
inferredcites →https://doi.org/10.1016/j.dss.2018.09.001openalex-snapshot
Early segmentation of students according to their academic performance: A predictive modelling approach
inferredcites →https://doi.org/10.1016/j.ejor.2019.09.040openalex-snapshot
An ordinal classification framework for bank failure prediction: Methodology and empirical evidence for US banks
inferredcites →https://doi.org/10.1016/j.eswa.2007.12.020openalex-snapshot
The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients
inferredcites →https://doi.org/10.1016/j.fiae.2017.12.001openalex-snapshot
Fuzzy logic based on Belief and Disbelief membership functions
inferredcites →https://doi.org/10.1016/j.infsof.2011.09.002openalex-snapshot
Systematic literature review of machine learning based software development effort estimation models
inferredcites →https://doi.org/10.1016/j.infsof.2014.07.005openalex-snapshot
Software defect prediction using ensemble learning on selected features
inferredcites →https://doi.org/10.1016/j.infsof.2015.07.004openalex-snapshot
An empirical analysis of data preprocessing for machine learning-based software cost estimation
inferredcites →https://doi.org/10.1016/j.infsof.2017.03.007openalex-snapshot
TLEL: A two-layer ensemble learning approach for just-in-time defect prediction
inferredcites →https://doi.org/10.1016/j.infsof.2017.06.002openalex-snapshot
Research patterns and trends in software effort estimation
inferredcites →https://doi.org/10.1016/j.infsof.2017.08.004openalex-snapshot
MULTI: Multi-objective effort-aware just-in-time software defect prediction
inferredcites →https://doi.org/10.1016/j.ins.2019.05.042openalex-snapshot
Combining unsupervised and supervised learning in credit card fraud detection
inferredcites →https://doi.org/10.1016/j.iref.2018.03.008openalex-snapshot
Predicting failure in the U.S. banking sector: An extreme gradient boosting approach
inferredcites →https://doi.org/10.1016/j.is.2015.04.007openalex-snapshot
Time-series clustering – A decade review
inferredcites →https://doi.org/10.1016/j.jappgeo.2015.11.010openalex-snapshot
Capability of cross-hole electrical configurations for monitoring rapid plume migration experiments
inferredcites →https://doi.org/10.1016/j.jappgeo.2017.02.024openalex-snapshot
Quantification of tracer plume transport parameters in 2D saturated porous media by cross-borehole ERT imaging
inferredcites →https://doi.org/10.1016/j.jbusres.2018.02.012openalex-snapshot
Educational data mining: Predictive analysis of academic performance of public school students in the capital of Brazil
inferredcites →https://doi.org/10.1016/j.jeconom.2005.01.004openalex-snapshot
Predicting volatility: getting the most out of return data sampled at different frequencies
inferredcites →https://doi.org/10.1016/j.jpdc.2017.06.022openalex-snapshot
Implications of deep learning for the automation of design patterns organization
inferredcites →https://doi.org/10.1016/j.jss.2011.08.031openalex-snapshot
Design patterns selection: An automatic two-phase method
inferredcites →https://doi.org/10.1016/j.jss.2015.01.037openalex-snapshot
On applying machine learning techniques for design pattern detection
inferredcites →https://doi.org/10.1016/j.jss.2016.11.030openalex-snapshot
The state of the art on design patterns: A systematic mapping of the literature
inferredcites →https://doi.org/10.1016/j.knosys.2009.05.001openalex-snapshot
Ensemble of neural networks with associative memory (ENNA) for estimating software development costs
inferredcites →https://doi.org/10.1016/j.knosys.2017.01.007openalex-snapshot
Design pattern detection based on the graph theory
inferredcites →https://doi.org/10.1016/j.neunet.2014.09.003openalex-snapshot
Deep learning in neural networks: An overview
inferredcites →https://doi.org/10.1016/j.patcog.2005.01.025openalex-snapshot
Clustering of time series data—a survey
inferredcites →https://doi.org/10.1016/j.procs.2015.12.157openalex-snapshot
A Review on Predicting Student's Performance Using Data Mining Techniques
inferredcites →https://doi.org/10.1016/j.procs.2018.05.194openalex-snapshot
A Supervised Bug Report Classification with Incorporate and Textual field Knowledge
inferredcites →https://doi.org/10.1016/j.rser.2013.08.055openalex-snapshot
Solar radiation prediction using Artificial Neural Network techniques: A review
inferredcites →https://doi.org/10.1016/j.rser.2013.12.008openalex-snapshot
Selection of most relevant input parameters using WEKA for artificial neural network based solar radiation prediction models
inferredcites →https://doi.org/10.1016/j.scico.2013.09.015openalex-snapshot
A graph mining approach for detecting identical design structures in object-oriented design models
inferredcites →https://doi.org/10.1016/j.scitotenv.2017.04.222openalex-snapshot
Transport of multi-walled carbon nanotubes stabilized by carboxymethyl cellulose and starch in saturated porous media: Influences of electrolyte, clay and humic acid
inferredcites →https://doi.org/10.1016/j.scitotenv.2017.09.012openalex-snapshot
Towards the understanding of antibiotic occurrence and transport in groundwater: Findings from the Baix Fluvià alluvial aquifer (NE Catalonia, Spain)
inferredcites →https://doi.org/10.1016/j.scitotenv.2017.10.070openalex-snapshot
Enhanced transport of ferrihydrite colloid by chain-shaped humic acid colloid in saturated porous media
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.06.330openalex-snapshot
A simple method of transport parameter estimation for slug injecting tracer tests in porous media
inferredcites →https://doi.org/10.1016/j.tele.2018.04.015openalex-snapshot
Educational Data Mining: A review of evaluation process in the e-learning
inferredcites →https://doi.org/10.1016/s0306-4379(01)00008-4openalex-snapshot
Cure: an efficient clustering algorithm for large databases
inferredcites →https://doi.org/10.1017/cbo9781139165495openalex-snapshot
Statistical Models: Theory and Practice
inferredcites →https://doi.org/10.1023/a:1009839829793openalex-snapshot
RainForest—A Framework for Fast Decision Tree Construction of Large Datasets
inferredcites →https://doi.org/10.1029/2004wr003626openalex-snapshot
Space‐time optimization of groundwater quality sampling networks
inferredcites →https://doi.org/10.1029/94wr00872openalex-snapshot
Monitoring network design to provide initial detection of groundwater contamination
inferredcites →https://doi.org/10.1029/jz066i008p02455openalex-snapshot
Some experiments in dispersion
inferredcites →https://doi.org/10.1029/wr022i013p02017openalex-snapshot
A natural gradient experiment on solute transport in a sand aquifer: 1. Approach and overview of plume movement
inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot
Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1057/s41270-017-0013-7openalex-snapshot
Imbalanced customer classification for bank direct marketing
inferredcites →https://doi.org/10.1073/pnas.210134797openalex-snapshot
Coupled two-way clustering analysis of gene microarray data
inferredcites →https://doi.org/10.1073/pnas.96.6.2907openalex-snapshot
Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation
inferredcites →https://doi.org/10.1080/00437956.1954.11659520openalex-snapshot
Distributional Structure
inferredcites →https://doi.org/10.1080/01621459.1963.10500855openalex-snapshot
Problems in the Analysis of Survey Data, and a Proposal
inferredcites →https://doi.org/10.1080/07408170600897460openalex-snapshot
H-Mine: Fast and space-preserving frequent pattern mining in large databases
inferredcites →https://doi.org/10.1088/1742-6596/1175/1/012035openalex-snapshot
Long-term deposits prediction: a comparative framework of classification model for predict the success of bank telemarketing
inferredcites →https://doi.org/10.1093/bioinformatics/bti494openalex-snapshot
Proteomic mass spectra classification using decision tree based ensemble methods
inferredcites →https://doi.org/10.1109/35.41400openalex-snapshot
Handwritten digit recognition: applications of neural network chips and automatic learning
inferredcites →https://doi.org/10.1109/annes.1995.499515openalex-snapshot
A neural network model for rainfall estimation
inferredcites →https://doi.org/10.1109/apsec.2017.15openalex-snapshot
Application of LSSVM and SMOTE on Seven Open Source Projects for Predicting Refactoring at Class Level
inferredcites →https://doi.org/10.1109/cbd.2017.58openalex-snapshot
A Mining Approach to Obtain the Software Vulnerability Characteristics
inferredcites →https://doi.org/10.1109/compsac.2017.129openalex-snapshot
Finding Extract Method Refactoring Opportunities by Analyzing Development History
inferredcites →https://doi.org/10.1109/concapan.2017.8278488openalex-snapshot
Refactoring improving the design of existing code
inferredcites →https://doi.org/10.1109/confluence.2017.7943255openalex-snapshot
Software defect prediction analysis using machine learning algorithms
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/dsc.2016.33openalex-snapshot
Survey on Software Vulnerability Analysis Method Based on Machine Learning
inferredcites →https://doi.org/10.1109/esem.2007.9openalex-snapshot
Mining Software Evolution to Predict Refactoring
inferredcites →https://doi.org/10.1109/hsi.2012.22openalex-snapshot
Mining Bug Databases for Unidentified Software Vulnerabilities
inferredcites →https://doi.org/10.1109/icde.1999.754915openalex-snapshot
Efficient time series matching by wavelets
inferredcites →https://doi.org/10.1109/icdm.2001.989529openalex-snapshot
Distance measures for effective clustering of ARIMA time-series
inferredcites →https://doi.org/10.1109/icdm.2002.1184037openalex-snapshot
Mixtures of ARMA models for model-based time series clustering
inferredcites →https://doi.org/10.1109/icdm.2004.10063openalex-snapshot
A machine learning approach to improve congestion control over wireless computer networks
inferredcites →https://doi.org/10.1109/icdm.2005.79openalex-snapshot
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
inferredcites →https://doi.org/10.1109/icis.2016.7550867openalex-snapshot
Identifying recurring association rules in software defect prediction
inferredcites →https://doi.org/10.1109/icmla.2014.63openalex-snapshot
Applying Swarm Ensemble Clustering Technique for Fault Prediction Using Software Metrics
inferredcites →https://doi.org/10.1109/icmla.2017.00098openalex-snapshot
Exploring the Impact of Clone Refactoring on Test Code Size in Object-Oriented Software
inferredcites →https://doi.org/10.1109/icmla.2018.00120openalex-snapshot
Automated Vulnerability Detection in Source Code Using Deep Representation Learning
inferredcites →https://doi.org/10.1109/icse.2015.91openalex-snapshot
Revisiting the Impact of Classification Techniques on the Performance of Defect Prediction Models
inferredcites →https://doi.org/10.1109/icsme.2018.00021openalex-snapshot
Automatic Clone Recommendation for Refactoring Based on the Present and the Past
inferredcites →https://doi.org/10.1109/icst.2018.00014openalex-snapshot
Characterizing Defective Configuration Scripts Used for Continuous Deployment
inferredcites →https://doi.org/10.1109/ifuzzy.2015.7391897openalex-snapshot
Fuzzy data mining and web intelligence
inferredcites →https://doi.org/10.1109/ifuzzy.2018.8751692openalex-snapshot
Fuzzy MapReduce Data Mining algorithms
inferredcites →https://doi.org/10.1109/ijcnn.2015.7280812openalex-snapshot
Forecasting the weather of Nevada: A deep learning approach
inferredcites →https://doi.org/10.1109/indin.2009.5195808openalex-snapshot
Solar radiation forecasting based on meteorological data using artificial neural networks
inferredcites →https://doi.org/10.1109/isap.2009.5352922openalex-snapshot
Short to Medium Range Time Series Prediction of Solar Irradiance Using an Echo State Network
inferredcites →https://doi.org/10.1109/issre.2014.32openalex-snapshot
Predicting Vulnerable Components: Software Metrics vs Text Mining
inferredcites →https://doi.org/10.1109/iswc.2006.286337openalex-snapshot
Discovering Characteristic Actions from On-Body Sensor Data
inferredcites →https://doi.org/10.1109/pes.2005.1489526openalex-snapshot
Artificial neural network model for prediction solar radiation data: application for sizing stand-alone photovoltaic power system
inferredcites →https://doi.org/10.1109/pes.2007.386131openalex-snapshot
An ANFIS-based Forecasting for Solar Radiation Data from Sunshine Duration and Ambient Temperature
inferredcites →https://doi.org/10.1109/promise.2007.10openalex-snapshot
Predicting Defects for Eclipse
inferredcites →https://doi.org/10.1109/qrs.2015.14openalex-snapshot
Deep Learning for Just-in-Time Defect Prediction
inferredcites →https://doi.org/10.1109/qrs.2015.15openalex-snapshot
Predicting Vulnerable Components via Text Mining or Software Metrics? An Effort-Aware Perspective
inferredcites →https://doi.org/10.1109/scam.2016.15openalex-snapshot
Vulnerability Prediction Models: A Case Study on the Linux Kernel
inferredcites →https://doi.org/10.1109/sp.2014.44openalex-snapshot
Modeling and Discovering Vulnerabilities with Code Property Graphs
inferredcites →https://doi.org/10.1109/sp.2015.54openalex-snapshot
Automatic Inference of Search Patterns for Taint-Style Vulnerabilities
inferredcites →https://doi.org/10.1109/synasc.2017.00046openalex-snapshot
A Hierarchical Clustering-Based Approach for Software Restructuring at the Package Level
inferredcites →https://doi.org/10.1109/tassp.1978.1163055openalex-snapshot
Dynamic programming algorithm optimization for spoken word recognition
inferredcites →https://doi.org/10.1109/tencon.2016.7847994openalex-snapshot
Software design pattern recognition using machine learning techniques
inferredcites →https://doi.org/10.1109/tencon.2019.8929703openalex-snapshot
Sentiment Classification of Indian Banks' Customer Complaints
inferredcites →https://doi.org/10.1109/tetci.2017.2699224openalex-snapshot
Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method
inferredcites →https://doi.org/10.1109/time.2002.1027480openalex-snapshot
A similarity search method of time series data with combination of Fourier and wavelet transforms
inferredcites →https://doi.org/10.1109/tit.1963.1057854openalex-snapshot
Pattern recognition and machine learning
inferredcites →https://doi.org/10.1109/tr.2013.2259203openalex-snapshot
Using Class Imbalance Learning for Software Defect Prediction
inferredcites →https://doi.org/10.1109/tse.2011.111openalex-snapshot
On the Value of Ensemble Effort Estimation
inferredcites →https://doi.org/10.1109/tse.2011.55openalex-snapshot
Data Mining Techniques for Software Effort Estimation: A Comparative Study
inferredcites →https://doi.org/10.1109/tse.2014.2340398openalex-snapshot
Predicting Vulnerable Software Components via Text Mining
inferredcites →https://doi.org/10.1109/tse.2017.2724538openalex-snapshot
A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches
inferredcites →https://doi.org/10.1109/tsmcc.2004.843247openalex-snapshot
Top-Down Induction of Decision Trees Classifiers—A Survey
inferredcites →https://doi.org/10.1109/ukci.2013.6651312openalex-snapshot
Towards machine learning based design pattern recognition
inferredcites →https://doi.org/10.1109/upcon.2016.7894692openalex-snapshot
Applying software metrics for the mining of design pattern
inferredcites →https://doi.org/10.1109/upcon.2016.7894693openalex-snapshot
Application of genetic algorithm as feature selection technique in development of effective fault prediction model
inferredcites →https://doi.org/10.1111/exsy.12135openalex-snapshot
Early dropout prediction using data mining: a case study with high school students
inferredcites →https://doi.org/10.11113/jt.v79.11874openalex-snapshot
TACKLING IMBALANCED CLASS IN SOFTWARE DEFECT PREDICTION USING TWO-STEP CLUSTER BASED RANDOM UNDERSAMPLING AND STACKING TECHNIQUE
inferredcites →https://doi.org/10.1137/1.9781611972757.55openalex-snapshot
Time-series Bitmaps: a Practical Visualization Tool for Working with Large Time Series Databases
inferredcites →https://doi.org/10.1142/s021819400900443xopenalex-snapshot
A REVIEW OF DESIGN PATTERN MINING TECHNIQUES
inferredcites →https://doi.org/10.1142/s0219622006002258openalex-snapshot
10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH
inferredcites →https://doi.org/10.1145/1007568.1007636openalex-snapshot
Indexing spatio-temporal trajectories with Chebyshev polynomials
inferredcites →https://doi.org/10.1145/1014052.1014077openalex-snapshot
Towards parameter-free data mining
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Predicting College Students English Performance Using Education Data Mining
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