Decision Tree and Naïve Bayes Algorithm for Classification and Generation of Actionable Knowledge for Direct Marketing

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Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
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"Decision Tree and Naïve Bayes Algorithm for Classification and Generation of Actionable Knowledge for Direct Marketing"
written by Masud Karim, Rashedur M. Rahman,
published by Journal of Software Engineering and Applications, Vol.6 No.4, 2013

has been cited by the following article(s):

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[31]	Machine Intelligence and Data Analytics for Sustainable Future Smart Cities Studies in Computational Intelligence, 2021 DOI:10.1007/978-3-030-72065-0_7

[32]	A Machine Learning Approach to Analyse the Symptoms of Covid-19 for the Initial Diagnosis of a Patient International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2021 DOI:10.32628/CSEIT21711

[33]	A Heuristic and Data Mining Model for Predicting Broiler House Environment Suitability Animals, 2021 DOI:10.3390/ani11102780

[34]	A Review Paper on A Comparative Study of Supervised Learning Approaches 2021 International Conference on Computing Sciences (ICCS), 2021 DOI:10.1109/ICCS54944.2021.00027

[35]	A novel combined dynamic ensemble selection model for imbalanced data to detect COVID-19 from complete blood count Computer Methods and Programs in Biomedicine, 2021 DOI:10.1016/j.cmpb.2021.106444

[36]	A novel combined dynamic ensemble selection model for imbalanced data to detect COVID-19 from complete blood count Computer Methods and Programs in Biomedicine, 2021 DOI:10.1016/j.cmpb.2021.106444

[37]	Dictionary‐Based Automated Information Extraction From Geological Documents Using a Deep Learning Algorithm Earth and Space Science, 2020 DOI:10.1029/2019EA000993

[38]	The Determination Analysis Of Telecommunications Customers Potential Cross-Selling With Classification Naive Bayes And C4.5 Journal of Physics: Conference Series, 2020 DOI:10.1088/1742-6596/1641/1/012010

[39]	Performance Analysis of Selected Programming Languages in the Context of Supporting Decision-Making Processes for Industry 4.0 Applied Sciences, 2020 DOI:10.3390/app10238521

[40]	Performance Analysis of Selected Programming Languages in the Context of Supporting Decision-Making Processes for Industry 4.0 Applied Sciences, 2020 DOI:10.3390/app10238521

[41]	Continuous Authentication of Smartphone Users using Machine Learning 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2020 DOI:10.1109/UEMCON51285.2020.9298040

[42]	A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients Expert Systems with Applications, 2020 DOI:10.1016/j.eswa.2020.113661

[43]	Computational Science and Its Applications – ICCSA 2020 Lecture Notes in Computer Science, 2020 DOI:10.1007/978-3-030-58817-5_35

[44]	Determination Wart Treatment Method Using Data Mining Technique Journal of Physics: Conference Series, 2020 DOI:10.1088/1742-6596/1641/1/012089

[45]	Variable Selection to Determine Majors of Student using K-Nearest Neighbor and Naïve Bayes Classifier Algorithm Journal of Physics: Conference Series, 2019 DOI:10.1088/1742-6596/1363/1/012057

[46]	Comparison of Classification Models for Early Prediction of Breast Cancer 2019 International Conference on Innovative Computing (ICIC), 2019 DOI:10.1109/ICIC48496.2019.8966691

[47]	Analysis of Sentiments on Indonesian YouTube Video Comments: Case Study of The Indonesian Government's Plan to Move the Capital City 2019 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), 2019 DOI:10.1109/ICIMCIS48181.2019.8985228

[48]	Generating Actionable Interpretations from Ensembles of Decision Trees IEEE Transactions on Knowledge and Data Engineering, 2019 DOI:10.1109/TKDE.2019.2945326

[49]	Sensing Techniques for Next Generation Cognitive Radio Networks Advances in Wireless Technologies and Telecommunication, 2019 DOI:10.4018/978-1-5225-5354-0.ch014

[50]	Machine learning for email spam filtering: review, approaches and open research problems Heliyon, 2019 DOI:10.1016/j.heliyon.2019.e01802

[51]	Locally and globally explainable time series tweaking Knowledge and Information Systems, 2019 DOI:10.1007/s10115-019-01389-4

[52]	Machine learning for email spam filtering: review, approaches and open research problems Heliyon, 2019 DOI:10.1016/j.heliyon.2019.e01802

[53]	Improved Bayes Method Based on TF-IDF Feature and Grade Factor Feature for Chinese Information Classification 2018 IEEE International Conference on Big Data and Smart Computing (BigComp), 2018 DOI:10.1109/BigComp.2018.00124

[54]	Explainable Time Series Tweaking via Irreversible and Reversible Temporal Transformations 2018 IEEE International Conference on Data Mining (ICDM), 2018 DOI:10.1109/ICDM.2018.00036

[55]	In Search of Actionable Patterns of Lowest Cost – A Scalable Action Graph Method 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2018 DOI:10.1109/AIKE.2018.00026

[56]	Implementation of Naïve Bayes Classification Method for Predicting Purchase 2018 6th International Conference on Cyber and IT Service Management (CITSM), 2018 DOI:10.1109/CITSM.2018.8674324

[57]	Enhanced Approach of Using Custom Heuristic Rules with Stanford and Naive Bayes Classification Technique 2018 International Conference On Advances in Communication and Computing Technology (ICACCT), 2018 DOI:10.1109/ICACCT.2018.8529378

[58]	Student Academic Evaluation using Naïve Bayes Classifier Algorithm 2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT), 2018 DOI:10.1109/EIConCIT.2018.8878626

[59]	Information and Decision Sciences Advances in Intelligent Systems and Computing, 2018 DOI:10.1007/978-981-10-7563-6_3

[60]	A Decision Tree and Naïve Bayes algorithm for income tax prediction African Journal of Science, Technology, Innovation and Development, 2018 DOI:10.1080/20421338.2018.1466440

[61]	Big Data Analytics and Knowledge Discovery Lecture Notes in Computer Science, 2018 DOI:10.1007/978-3-319-98539-8_17

[62]	Computational Collective Intelligence Lecture Notes in Computer Science, 2018 DOI:10.1007/978-3-319-98446-9_31

[63]	Prediction Student Eligibility in Vocation School with Naïve-Byes Decision Algorithm IOP Conference Series: Materials Science and Engineering, 2018 DOI:10.1088/1757-899X/407/1/012140

[64]	Explainable Predictions of Adverse Drug Events from Electronic Health Records Via Oracle Coaching 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018 DOI:10.1109/ICDMW.2018.00108

[65]	Data Engineering and Intelligent Computing Advances in Intelligent Systems and Computing, 2018 DOI:10.1007/978-981-10-3223-3_14

[66]	A Classification Based Model to Assess Customer Behavior in Banking Sector Engineering, Technology & Applied Science Research, 2018 DOI:10.48084/etasr.1917

[67]	Imbalanced customer classification for bank direct marketing Journal of Marketing Analytics, 2017 DOI:10.1057/s41270-017-0013-7

[68]	Classifiers evaluation: Comparison of performance classifiers based on tuples amount 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2017 DOI:10.1109/EECSI.2017.8239204

[69]	Use of reliability engineering concepts in machine learning for classification 2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI), 2017 DOI:10.1109/ISCMI.2017.8279593

[70]	Detection on network equipment failure using Naïve bayes classification 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 2017 DOI:10.1109/ITNEC.2017.8284990

[71]	Malware detection in android mobile platform using machine learning algorithms 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS), 2017 DOI:10.1109/ICTUS.2017.8286109

[72]	Predicting customer behavior in online shopping using SVM classifier 2017 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), 2017 DOI:10.1109/ITCOSP.2017.8303085

[73]	A Predictive Model for Analyzing Electric Consumption Patterns in Solar Photo Voltaic Micro Grid 2017 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS), 2017 DOI:10.1109/CSITSS.2017.8447856

[74]	Application Of Decision Tree Approach To Student Selection Model- A Case Study IOP Conference Series: Materials Science and Engineering, 2016 DOI:10.1088/1757-899X/105/1/012014

[75]	A customer classification prediction model based on machine learning techniques 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), 2015 DOI:10.1109/ICATCCT.2015.7456903

[76]	Optimal Action Extraction for Random Forests and Boosted Trees Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15, 2015 DOI:10.1145/2783258.2783281

[77]	Optimal Action Extraction for Random Forests and Boosted Trees Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015 DOI:10.1145/2783258.2783281

[78]	Non-Naive Bayesian classifier for Farmer Advisory System 2014 Sixth International Conference on Advanced Computing (ICoAC), 2014 DOI:10.1109/ICoAC.2014.7229720

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