, Two Level Decision Making (TLDM)

,

, , p.141

141 7.1.2 Fast Parallel Mining of Maximally Informative K-itemset from Data Stream ,

, Fast Parallel Ensemble of Ensembles of Classifiers, p.142

, , p.100

, John graunt, pp.2016-2025

, , pp.2017-2019

, Rakesh agrawal, pp.2016-2025

Text-mining techniques and tools for systematic literature reviews: A systematic literature review, 24th Asia-Pacific Software Engineering Conference, pp.41-50, 2017. ,

Fast algorithms for mining association rules in large databases, Proceedings of 20th International Conference on Very Large Data Bases, VLDB'94, pp.487-499, 1994. ,

Restructuring lattice theory: an approach based on hierarchies of concepts, pp.445-470, 1982. ,

Discovering frequent closed itemsets for association rules, Database Theory-ICDT '99, 7th International Conference, pp.398-416, 1999. ,

URL : https://hal.archives-ouvertes.fr/hal-00467747

Mining closed frequent itemset based on fp-tree, The 2009 IEEE International Conference on Granular Computing, pp.354-357, 2009. ,

Mapreduce: simplified data processing on large clusters, Journal of Commun. ACM, pp.107-113, 2008. ,

Spark: Cluster computing with working sets, 2010. ,

Mining frequent patterns without candidate generation, Proceedings of the 6th International Conference on Management of Data, SIGMOD'00, pp.1-12, 2000. ,

Pfp: parallel fp-growth for query recommendation, Proceedings of the 2nd International Conference on Recommender Systems, pp.107-114, 2008. ,

Maximally informative k-itemsets and their efficient discovery, Proceedings of the 12th International Conference on Knowledge Discovery and Data Mining, ACMSIGKDD'06, pp.237-244, 2006. ,

Survey on data mining classification techniques, Proceedings of the International Conference & Workshop on Emerging Trends in Technology, pp.1380-1420, 2011. ,

An efficient algorithm for mining association rules in large databases, Proceedings of International Conference on Very Large Data Bases (VLDB), pp.432-444, 1995. ,

Index-bittablefi: An improved algorithm for mining frequent itemsets, Journal of Knowl. Based Syst, pp.507-513, 2008. ,

Frequent itemset generation using double hashing technique, Journal of Procedia Engineering, pp.1467-1478 ,

Scalable algorithms for association mining, IEEE Transactions on, vol.12, pp.372-390, 2000. ,

An efficient cluster and decomposition algorithm for mining association rules, Inf. Sci, vol.160, issue.1-4, pp.161-171, 2004. ,

Datamining: Algorithmes d'extraction et de réduction des règles d'association dans les bases de données, 2000. ,

Database mining: a performance perspective, IEEE Transactions on Knowledge and Data Engineering, vol.5, issue.6, pp.914-925, 1993. ,

Approches d'extraction de règles d'association basées sur la correspondance de galois, Ingénierie des Systèmes d'Information, pp.23-55, 2004. ,

Maximally informative k-itemsets and their efficient discovery, Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp.237-244, 2006. ,

The development of holte's 1r classifier, Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on, pp.239-242, 1995. ,

Induction of decision trees, Mach. Learn, vol.1, pp.81-106, 1986. ,

Knowledge and Data Engineering, IEEE Transactions on, pp.438-444, 2002. ,

Naive bayes models for probability estimation, Proceedings of the 22Nd International Conference on Machine Learning, ICML '05, pp.529-536, 2005. ,

Support-vector networks, Machine Learning, pp.273-297 ,

Context-sensitive learning methods for text categorization, ACM Trans. Inf. Syst, vol.17, pp.141-173, 1999. ,

A survey of text classification algorithms, pp.163-222, 2012. ,

A survey of decision tree classifier methodology, Systems, Man and Cybernetics, IEEE Transactions on, pp.660-674, 1991. ,

Support vector machines: Theory and applications, Machine Learning and Its Applications, pp.249-257, 2001. ,

The nature of statistical learning theory, IEEE Trans. Neural Networks, vol.8, issue.6, p.1564, 1997. ,

Naive bayes and text classification I-introduction and theory, CoRR, 2014. ,

Ensemble learning, 2011. ,

Random forests, Mach. Learn, vol.45, pp.5-32, 2001. ,

Logistic Regression for Data Mining and High-Dimensional Classification, 2004. ,

A parallel random forest classifier for r, Proceedings of the Second International Workshop on Emerging Computational Methods for the Life Sciences ,

Second Edition (Morgan Kaufmann Series in Data Management Systems), Data Mining: Practical Machine Learning Tools and Techniques, 2005. ,

Survey of Text Mining Clustering, Classification, and Retrieval, 2004. ,

Introduction to e-commerce, 2009. ,

Finding generalized closed frequent itemsets for mining non redundant association rules, Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, SEBD 2007, pp.17-20 ,

Essential patterns: A perfect cover of frequent patterns, Proceedings of the 7th International Conference on Data Warehousing and Knowledge Discovery, DaWaK'05, pp.428-437, 2005. ,

A new concise representation of frequent itemsets using generators and a positive border, Knowl. Inf. Syst, vol.17, issue.1, pp.35-56, 2008. ,

Sweeping the disjunctive search space towards mining new exact concise representations of frequent itemsets, Data Knowl. Eng, vol.68, issue.10, pp.1091-1111, 2009. ,

URL : https://hal.archives-ouvertes.fr/hal-02134384

Mining frequent patterns without candidate generation, SIGMODREC: ACM SIGMOD Record, vol.29, 2000. ,

Bonferroni-type Inequalities with Applications, 1996. ,

On condensed representations of constrained frequent patterns, Knowl. Inf. Syst, vol.9, issue.2, pp.180-201, 2006. ,

Frequent pattern mining, 2014. ,

, Formal Concept Analysis, Foundations and Applications, vol.3626, 2005.

Levelwise search and borders of theories in knowledge discovery, Data Min. Knowl. Discov, vol.1, issue.3, pp.241-258, 1997. ,

, Constraint-Based Mining and Inductive Databases, European Workshop on Inductive Databases and Constraint Based Mining, vol.3848, 2004.

Condensed representation of frequent itemsets, 18th International Database Engineering & Applications Symposium, pp.168-175, 2014. ,

, Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996.

A novel process-based association rule approach through maximal frequent itemsets for big data processing, Future Generation Comp. Syst, pp.414-424, 2018. ,

Using evolutionary programming and minimum description length principle for data mining of bayesian networks, IEEE Trans. Pattern Anal. Mach. Intell, vol.21, issue.2, pp.174-178, 1999. ,

, Formal Concept Analysis-13th International Conference, ICFCA 2015, vol.9113, 2015.

A fast pruning redundant rule method using galois connection, Appl. Soft Comput, pp.130-137, 2011. ,

Advances in knowledge discovery and data mining," ch. From Data Mining to Knowledge Discovery: An Overview, pp.1-34, 1996. ,

Frequent closed itemset based algorithms: a through structural and analytical survey, Journal of SIGKDD Explorations, pp.93-104, 2006. ,

Efficient mining of association rules using closed itemset lattices, Inf. Syst, vol.24, issue.1, pp.25-46, 1999. ,

Computing iceberg concept lattices with Titanic, Journal of Data Knowledge Engineering, pp.189-222, 2002. ,

URL : https://hal.archives-ouvertes.fr/hal-00578830

DM data mining based on improved apriori algorithm, Information Computing and Applications-4th International Conference, ICICA 2013, pp.354-363, 2013. ,

CLOSET: an efficient algorithm for mining frequent closed itemsets, Workshop on Research Issues in Data Mining and Knowledge Discovery ACM SIGMOD'00, pp.21-30, 2000. ,

CLOSET+: searching for the best strategies for mining frequent closed itemsets, Proceedings of the 9th International Conference on Knowledge Discovery and Data Mining, KDD'03, pp.236-245, 2003. ,

Efficiently using prefix-trees in mining frequent itemsets, Proceedings of the 3rd Workshop on Frequent Itemset Mining Implementations, ICDM'03, pp.249-274, 2003. ,

CHARM: an efficient algorithm for closed itemset mining, Proceedings of the 2nd International Conference on Data Mining SIAM'02, pp.457-473, 2002. ,

DCI closed: A fast and memory efficient algorithm to mine frequent closed itemsets, FIMI '04, Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations, 2004. ,

LCM: an efficient algorithm for enumerating frequent closed item sets, Proceedings of The 3rd IEEE International Conference on Data Mining, ICDM'03, 2003. ,

Fast and memory efficient mining of frequent closed itemsets, Journal of IEEE Transactions on Knowledge and Data Engineering, pp.21-36, 2006. ,

An efficient algorithm for enumerating closed patterns in transaction databases, Proceedings of the 7th International Conference on Discovery Science, DS'04 ,

Elements of information theory, 2006. ,

Finding low-entropy sets and trees from binary data, Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp.350-359, 2007. ,

Beyond market baskets: Generalizing association rules to correlations, SIGMOD Rec, vol.26, pp.265-276, 1997. ,

Probably the best itemsets, Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.293-302, 2010. ,

Mining frequent patterns in data streams at multiple time granularities, 2002. ,

A regression-based temporal pattern mining scheme for data streams, Proceedings of International Conference on Very Large Data Bases (VLDB), pp.93-104, 2003. ,

Discovering highly informative feature sets from data streams, Database and Expert Systems Applications, pp.91-104, 2010. ,

A survey on feature selection methods, Computers and Electrical Engineering, vol.40, issue.1, pp.16-28, 2014. ,

An introduction to variable and feature selection, J. Mach. Learn. Res, vol.3, pp.1157-1182, 2003. ,

, Hadoop

, Casandra

Mining of massive datasets, 2012. ,

Parallel mining of frequent closed patterns: Harnessing modern computer architectures, Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), pp.242-251, 2007. ,

Mapreduce-based closed frequent itemset mining with efficient redundancy filtering, 12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, pp.449-453, 2012. ,

Frequent itemset mining for big data, Proceedings of the 1st IEEE International Conference on Big Data, pp.111-118, 2013. ,

Succinct minimal generators: Theoretical foundations and applications, International journal of foundations of computer science, vol.19, issue.02, pp.271-296, 2008. ,

URL : https://hal.archives-ouvertes.fr/hal-02134392

Generalization of association rules through disjunction, Annals of Mathematics and Artificial Intelligence, vol.59, issue.2, pp.201-222, 2010. ,

URL : https://hal.archives-ouvertes.fr/hal-02134377

Event log mining tool for large scale hpc systems, Proceedings of Euro-Par'11, 2011. ,

Mining console logs for large-scale system problem detection, Proceedings of SysML'08, 2008. ,

Extraction of association rules based on literalsets, International Conference on Data Warehousing and Knowledge Discovery, pp.293-302, 2007. ,

URL : https://hal.archives-ouvertes.fr/hal-00194525

Ranking and selecting association rules based on dominance relationship, Tools with Artificial Intelligence (ICTAI), vol.1, pp.658-665, 2012. ,

URL : https://hal.archives-ouvertes.fr/hal-00677853

Extracting compact and information lossless sets of fuzzy association rules, Fuzzy Sets and Systems, vol.183, issue.1, pp.1-25, 2011. ,

URL : https://hal.archives-ouvertes.fr/lirmm-00604420

Revisiting generic bases of association rules, International Conference on Data Warehousing and Knowledge Discovery, pp.58-67, 2004. ,

Efficient unveiling of multi-members in a social network, Journal of Systems and Software, vol.94, pp.30-38, 2014. ,

URL : https://hal.archives-ouvertes.fr/ujm-01017638

Research on association rules parallel algorithm based on fp-growth, Proceedings of the International Conference on Information Computing and Applications, ICICA'11, pp.249-256, 2011. ,

Mapreduce-based closed frequent itemset mining with efficient redundancy filtering, Proceedings of the 12th IEEE International Conference on Data Mining, pp.449-453, 2012. ,

An implementation of fp-growth algorithm based on high level data structures of weka-jung framework, Journal of Cases on Information Technology, pp.287-294, 2010. ,

Efficient binary polynomial multiplication based on optimized karatsuba reconstruction, Journal of Cryptographic Engineering, pp.91-106, 2014. ,

Iterative toom-cook methods for very unbalanced long integer multiplication, Proceedings of the 35th International Symposium in Symbolic and Algebraic Computation, ISSAC'10, pp.319-323, 2010. ,

, Data Mining-Concepts, Models and Techniques, 2011.

Fast parallel mining of maximally informative k-itemsets in big data, Proceedings of the 2015 IEEE International Conference on Data Mining ICDM, pp.359-368, 2015. ,

URL : https://hal.archives-ouvertes.fr/lirmm-01187275

Data Analytics-Models and Algorithms for Intelligent Data Analysis, 2016. ,

A survey on information retrieval, text categorization, and web crawling, 2012. ,

, Elements of information theory, 2006.

Discovering highly informative feature sets from data streams, Proceedings of the 21st International Conference on Database and Expert Systems Applications, DEXA'10, pp.91-104, 2010. ,

Sketching distributed sliding-window data streams, The VLDB Journal, 2015. ,

Spark: Cluster computing with working sets, Proceedings of the 2Nd USENIX Conference on Hot Topics in Cloud Computing, HotCloud'10, pp.10-10, 2010. ,

Garc: A new associative classification approach, International Conference on Data Warehousing and Knowledge Discovery, pp.554-565, 2006. ,

Nearest neighbor pattern classification, IEEE Trans. Inf. Theor, pp.21-27, 2006. ,

Machine learning in automated text categorization, Journal of ACM Comput. Surv, pp.1-47 ,

Text categorization with support vector machines: Learning with many relevant features, 1998. ,

Tackling the poor assumptions of naive bayes text classifiers, Proceedings of the Twentieth International Conference on Machine Learning, pp.616-623, 2003. ,

Feature selection for classification: A review, Data Classification: Algorithms and Applications, pp.37-64, 2014. ,

Formal context coverage based on isolated labels: An efficient solution for text feature extraction, Information Sciences, vol.188, pp.198-214, 2012. ,

URL : https://hal.archives-ouvertes.fr/hal-01300495

Omc-ids: at the cross-roads of olap mining and intrusion detection, Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD, pp.13-24, 2012. ,

URL : https://hal.archives-ouvertes.fr/hal-01300473

, Trec

Mahout in action, 2012. ,

, Nef cluster, 2015.

, English wikipedia articles, 2014.

, The clueweb09 dataset, 2009.