A systematic mapping study on agent mining

Over the past two decades, many studies have been published in diverse fields of application combining agent abilities (knowledge processing, communication, learning, mobility, etc.) and data minin...

[1]  Isabel M. Ramos,et al.  Measuring Software Process , 2018, ACM Comput. Surv..

[2]  Karl Tuyls,et al.  Evolutionary Dynamics of Multi-Agent Learning: A Survey , 2015, J. Artif. Intell. Res..

[3]  Ali Selamat,et al.  Agent systems verification : systematic literature review and mapping , 2018, Applied intelligence (Boston).

[4]  David de la Fuente,et al.  Real-time water demand forecasting system through an agent-based architecture , 2015, Int. J. Bio Inspired Comput..

[5]  S. X. Chen,et al.  Multi-Agent System for Distributed Management of Microgrids , 2015, IEEE Transactions on Power Systems.

[6]  Jörg P. Müller,et al.  Agent UML: A Formalism for Specifying Multiagent Software Systems , 2001, Int. J. Softw. Eng. Knowl. Eng..

[7]  Pierre Lemarinier,et al.  Agent Based Modelling and Simulation tools: A review of the state-of-art software , 2017, Comput. Sci. Rev..

[8]  Rita Maria da Silva Julia,et al.  ACE-RL-Checkers: decision-making adaptability through integration of automatic case elicitation, reinforcement learning, and sequential pattern mining , 2018, Knowledge and Information Systems.

[9]  Mihaela van der Schaar,et al.  Distributed Multi-Agent Online Learning Based on Global Feedback , 2015, IEEE Transactions on Signal Processing.

[10]  Gonzalo Mariscal,et al.  A survey of data mining and knowledge discovery process models and methodologies , 2010, The Knowledge Engineering Review.

[11]  Shu-Hsien Liao,et al.  Data mining techniques and applications - A decade review from 2000 to 2011 , 2012, Expert Syst. Appl..

[12]  Martin Hilbert,et al.  The World’s Technological Capacity to Store, Communicate, and Compute Information , 2011, Science.

[13]  David Bell,et al.  Data-driven agent-based exploration of customer behavior , 2018, Simul..

[14]  Gora Chand Nandi,et al.  Convergence of knowledge, nature and computations: a review , 2014, Soft Computing.

[15]  Carolyn Penstein Rosé,et al.  Technology Support for Discussion Based Learning: From Computer Supported Collaborative Learning to the Future of Massive Open Online Courses , 2016, International Journal of Artificial Intelligence in Education.

[16]  Jacky Akoka,et al.  Research on Big Data - A systematic mapping study , 2017, Comput. Stand. Interfaces.

[17]  Emmanuelle Grislin-Le Strugeon,et al.  MAS architecture and knowledge model for vehicles data communication , 2013 .

[18]  Xining Li,et al.  Deploying Mobile Agents in Distributed Data Mining , 2007, PAKDD Workshops.

[19]  K. A. Vidhya,et al.  Rough set theory for document clustering: A review , 2017, J. Intell. Fuzzy Syst..

[20]  Luis-Felipe Rodríguez,et al.  A cognitive-affective architecture for ECAs , 2016, BICA 2016.

[21]  John M Colford,et al.  Systematic reviews and meta-analyses: an illustrated, step-by-step guide. , 2004, The National medical journal of India.

[22]  Jie Fu,et al.  Concurrent multi-agent systems with temporal logic objectives: game theoretic analysis and planning through negotiation , 2015 .

[23]  Md. Apel Mahmud,et al.  Multi-Agent Approach for Enhancing Security of Protection Schemes in Cyber-Physical Energy Systems , 2017, IEEE Transactions on Industrial Informatics.

[24]  Yanghee Kim,et al.  Research-Based Design of Pedagogical Agent Roles: a Review, Progress, and Recommendations , 2016, International Journal of Artificial Intelligence in Education.

[25]  Zengchang Qin,et al.  Evolutionary collective behavior decomposition model for time series data mining , 2015, Appl. Soft Comput..

[26]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[27]  Mohd Sharifuddin Ahmad,et al.  Development and implementation of a technique for norms-adaptable agents in open multi-agent communities , 2016, Journal of Systems Science and Complexity.

[28]  Fabrizio Baiardi,et al.  Sequential Pattern Mining for ICT Risk Assessment and Prevention , 2017, SEFM Workshops.

[29]  Franco Zambonelli,et al.  Developing multiagent systems: The Gaia methodology , 2003, TSEM.

[30]  Henry Hexmoor,et al.  Emergent command and control architecture for dynamic agent communities , 2011, J. Exp. Theor. Artif. Intell..

[31]  Paulo S. C. Alencar,et al.  The use of machine learning algorithms in recommender systems: A systematic review , 2015, Expert Syst. Appl..

[32]  Michael Wooldridge,et al.  Game Theory and Decision Theory in Multi-Agent Systems , 2002, Autonomous Agents and Multi-Agent Systems.

[33]  Shakti Kundu,et al.  Web Mining Intelligent Agents (WEBMINTEL) System , 2017 .

[34]  Muhammad Munwar Iqbal,et al.  Multimedia based student-teacher smart interaction framework using multi-agents in eLearning , 2018, Multimedia Tools and Applications.

[35]  Li Xiu,et al.  Application of data mining techniques in customer relationship management: A literature review and classification , 2009, Expert Syst. Appl..

[36]  Alex A. Freitas,et al.  A survey of hierarchical classification across different application domains , 2010, Data Mining and Knowledge Discovery.

[37]  Qing-xian Wang,et al.  NIG-AP: a new method for automated penetration testing , 2019, Frontiers of Information Technology & Electronic Engineering.

[38]  J. Fleiss Measuring nominal scale agreement among many raters. , 1971 .

[39]  Wen Yu,et al.  Continuous-time path planning for multi-agents with fuzzy reinforcement learning , 2017, J. Intell. Fuzzy Syst..

[40]  Jean Paul Barddal,et al.  A Survey on Ensemble Learning for Data Stream Classification , 2017, ACM Comput. Surv..

[41]  Toyoaki Nishida,et al.  Using physiological signals to detect natural interactive behavior , 2010, Applied Intelligence.

[42]  Stewart Worrall,et al.  Using Delayed Observations for Long-Term Vehicle Tracking in Large Environments , 2014, IEEE Transactions on Intelligent Transportation Systems.

[43]  Abdallah Sherief,et al.  Mining Dynamics: Using Data Mining Techniques to Analyze Multi-agent Learning , 2017 .

[44]  Peyman Akhavan,et al.  Conceptual model for knowledge discovery process in databases based on multi-agent system , 2016 .

[45]  Albrecht Zimmermann,et al.  Method evaluation, parameterization, and result validation in unsupervised data mining: A critical survey , 2019, WIREs Data Mining Knowl. Discov..

[46]  Bart Baesens,et al.  Editorial survey: swarm intelligence for data mining , 2010, Machine Learning.

[47]  Scott A. DeLoach,et al.  Multiagent Systems Engineering , 2001, Int. J. Softw. Eng. Knowl. Eng..

[48]  Matthias Klusch,et al.  Distributed data mining and agents , 2005, Eng. Appl. Artif. Intell..

[49]  Roel Wieringa,et al.  Requirements engineering paper classification and evaluation criteria: a proposal and a discussion , 2005, Requirements Engineering.

[50]  S. Vimala,et al.  A study on supervised machine learning algorithm to improvise intrusion detection systems for mobile ad hoc networks , 2018, Cluster Computing.

[51]  Emily S. Cross,et al.  The Perception of Emotion in Artificial Agents , 2018, IEEE Transactions on Cognitive and Developmental Systems.

[52]  Hongbo Guo,et al.  Theory and Method of Time-varying Computational Experiments for the Fully Mechanized Mining Process in an Artificial System Environment , 2019, IEEE Access.

[53]  Pattie Maes,et al.  Agents that reduce work and information overload , 1994, CACM.

[54]  Justin Zhijun Zhan,et al.  Efficient hiding of confidential high-utility itemsets with minimal side effects , 2017, J. Exp. Theor. Artif. Intell..

[55]  Stefan Poslad,et al.  Specifying protocols for multi-agent systems interaction , 2007, TAAS.

[56]  Antonio Moreno,et al.  A Systematic Literature Review of Agents Applied in Healthcare , 2016, Journal of Medical Systems.

[57]  Káthia Marçal de Oliveira,et al.  Quality characteristics and measures for human–computer interaction evaluation in ubiquitous systems , 2017, Software Quality Journal.

[58]  Patricia Anthony,et al.  Agent for Mining of Significant Concepts in DBpedia , 2011, KTW.

[59]  Victor R. Lesser,et al.  A survey of multi-agent organizational paradigms , 2004, The Knowledge Engineering Review.

[60]  Witold Pedrycz,et al.  FORA - A fuzzy set based framework for online reputation management , 2015, Fuzzy Sets Syst..

[61]  Jun Zhang,et al.  Adaptive Particle Swarm Optimization , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[62]  Mounir Ben Ayed,et al.  Design of Remote Heart Monitoring System for Cardiac Patients , 2019, AINA.

[63]  J. Maxwell Understanding and Validity in Qualitative Research , 1992 .

[64]  Bay Vo,et al.  The lattice‐based approaches for mining association rules: a review , 2016, WIREs Data Mining Knowl. Discov..

[65]  Carlos León,et al.  A Fuzzy Logic intelligent agent for Information Extraction: Introducing a new Fuzzy Logic-based term weighting scheme , 2012, Expert Syst. Appl..

[66]  Veer Sain Dixit,et al.  Personalized Recommender Agent for E-Commerce Products Based on Data Mining Techniques , 2019, Intelligent Systems, Technologies and Applications.

[67]  Ana L. C. Bazzan,et al.  Social choice in distributed classification tasks: Dealing with vertically partitioned data , 2016, Inf. Sci..

[68]  Hyacinth S. Nwana,et al.  Software agents: an overview , 1996, The Knowledge Engineering Review.

[69]  Lance Chun Che Fung,et al.  A Review of Data Mining Techniques and Applications , 2017, J. Adv. Comput. Intell. Intell. Informatics.

[70]  S. Sreelal,et al.  A novel architecture for an integrated enterprise network security system , 2019 .

[71]  Rahul Hans,et al.  A Biological Immune System (BIS) inspired Mobile Agent Platform (MAP) security architecture , 2017, Expert Syst. Appl..

[72]  Simon Fong,et al.  Comparative Research of Swam Intelligence Clustering Algorithms for Analyzing Medical Data , 2019, IEEE Access.

[73]  Laurent Philippe,et al.  A survey on parallel and distributed multi-agent systems for high performance computing simulations , 2016, Comput. Sci. Rev..

[74]  Brahim Chaib-draa,et al.  Repeated games for multiagent systems: a survey , 2013, The Knowledge Engineering Review.

[75]  Mohammed Talibi Alaoui,et al.  Association Rules Algorithms for Data Mining Process Based on Multi Agent System , 2019, MLN.

[76]  Nicholas R. Jennings,et al.  A Roadmap of Agent Research and Development , 2004, Autonomous Agents and Multi-Agent Systems.

[77]  Jørgen Villadsen,et al.  A Data Driven Agent Elicitation Pipeline for Prediction Models , 2019, Business Process Management Workshops.

[78]  Philip S. Yu,et al.  A brief introduction to agent mining , 2012, Autonomous Agents and Multi-Agent Systems.

[79]  Takayuki Ito,et al.  Multiagent Social Influence Detection Based on Facial Emotion Recognition , 2016, PAAMS.

[80]  Kai Petersen,et al.  Guidelines for conducting systematic mapping studies in software engineering: An update , 2015, Inf. Softw. Technol..

[81]  Eamonn J. Keogh,et al.  A general framework for never-ending learning from time series streams , 2015, Data Mining and Knowledge Discovery.

[82]  Idel Montalvo,et al.  A hybrid, auto-adaptive and rule-based multi-agent approach using evolutionary algorithms for improved searching , 2016 .

[83]  Subramaniam Shamala,et al.  Multi-mobile agent itinerary planning algorithms for data gathering in wireless sensor networks: A review paper , 2017, Int. J. Distributed Sens. Networks.

[84]  Longbing Cao Data science , 2017, Commun. ACM.

[85]  Gururaj Kulkarni,et al.  Secure Communication through MultiAgent System-Based Diabetes Diagnosing and Classification , 2018, J. Intell. Syst..

[86]  Pericles A. Mitkas,et al.  Data mining for agent reasoning: A synergy for training intelligent agents , 2007, Eng. Appl. Artif. Intell..

[87]  Vladimir Gorodetsky Agents and Distributed Data Mining in Smart Space: Challenges and Perspectives , 2012, ADMI.

[88]  Giovanni Acampora,et al.  Guest Editorial Cognitive Agents and Robots for Human-Centered Systems , 2017, IEEE Trans. Cogn. Dev. Syst..

[89]  Albert J. Shih,et al.  Intelligent machine agent architecture for adaptive control optimization of manufacturing processes , 2011, Adv. Eng. Informatics.

[90]  Michael Uschold,et al.  Ontologies: principles, methods and applications , 1996, The Knowledge Engineering Review.

[91]  Olawande Daramola,et al.  Big data stream analysis: a systematic literature review , 2019, Journal of Big Data.

[92]  Nuha Zamzami,et al.  The impact of individual collaborative activities on knowledge creation and transmission , 2017, Scientometrics.

[93]  Paul Rayson,et al.  A Systematic Survey of Online Data Mining Technology Intended for Law Enforcement , 2015, ACM Comput. Surv..

[94]  José Barata,et al.  Collaborative Data Mining for Intelligent Home Appliances , 2016, PRO-VE.

[95]  José Javier Samper Zapater,et al.  Semantic web service discovery system for road traffic information services , 2015, Expert Syst. Appl..

[96]  A. Sankar,et al.  A hierarchical heterogeneous ant colony optimization based approach for efficient action rule mining , 2016, Swarm Evol. Comput..

[97]  Keeley A. Crockett,et al.  On predicting learning styles in conversational intelligent tutoring systems using fuzzy decision trees , 2017, Int. J. Hum. Comput. Stud..

[98]  Ivan Serina,et al.  A privacy-preserving model for multi-agent propositional planning , 2018, J. Exp. Theor. Artif. Intell..

[99]  Urszula Boryczka,et al.  Collective data mining in the ant colony decision tree approach , 2016, Inf. Sci..