, Balanced Patterns in Non-mirror Databases
, Balanced Patterns in Mirror Databases
,
,
,
,
,
,
Foundations of Databases, 1995. ,
Expected-outcome: A general model of static evaluation, IEEE Trans. Pattern Anal. Mach. Intell, vol.12, issue.2, pp.182-193, 1990. ,
Evaluation measures for multi-class subgroup discovery, ECML PKDD, pp.35-50, 2009. ,
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions, IEEE Transactions on, vol.17, issue.6, pp.734-749, 2005. ,
Data Mining -The Textbook, 2015. ,
, Frequent Pattern Mining, 2014.
Automatic subspace clustering of high dimensional data, Data Min. Knowl. Discov, vol.11, issue.1, pp.5-33, 2005. ,
Mining association rules between sets of items in large databases, Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, pp.207-216, 1993. ,
Learning to win: Case-based plan selection in a real-time strategy game, 6th International Conference, on Case-Based Reasoning, ICCBR 2005, pp.5-20, 2005. ,
Mining for gold farmers: Automatic detection of deviant players in mmogs, Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, pp.340-345, 2009. ,
Similarity measures in formal concept analysis, Ann. Math. Artif. Intell, vol.61, issue.3, pp.245-256, 2011. ,
A 'Best-of-Breed' approach for designing a fast algorithm for computing fixpoints of Galois Connections, Inf. Sci, vol.295, pp.633-649, 2015. ,
Alphastar: An evolutionary computation perspective, 2019. ,
Fast subgroup discovery for continuous target concepts, Foundations of Intelligent Systems, 18th International Symposium, vol.5722, pp.35-44, 2009. ,
Sd-map -A fast algorithm for exhaustive subgroup discovery, Knowledge Discovery in Databases: PKDD 2006, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, vol.4213, pp.6-17, 2006. ,
Finite-time analysis of the multiarmed bandit problem, Machine Learning, vol.47, pp.235-256, 2002. ,
Lattice Characterization of Armstrong and Symmetric Dependencies, 2007. ,
Characterizing approximate-matching dependencies in formal concept analysis with pattern structures, Discrete Applied Mathematics, vol.249, pp.18-27, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01673441
Computing similarity dependencies with pattern structures, Proceedings of the Tenth International Conference on Concept Lattices and Their Applications, vol.1062, pp.33-44, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00922592
Characterizing functional dependencies in formal concept analysis with pattern structures, Ann. Math. Artif. Intell, vol.72, issue.1-2, pp.129-149, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01101107
Detecting group differences: Mining contrast sets, Data Min. Knowl. Discov, vol.5, issue.3, pp.213-246, 2001. ,
Mining convex polygon patterns with formal concept analysis, pp.1425-1432, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01573841
Unsupervised exceptional attributed sub-graph mining in urban data, IEEE 16th International Conference on Data Mining, ICDM 2016, pp.21-30, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01430622
Mining a new fault-tolerant pattern type as an alternative to formal concept discovery, Conceptual Structures: Inspiration and Application, 14th International Conference on Conceptual Structures (ICCS), vol.4068, pp.144-157, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-01535528
Mining bi-sets in numerical data, Lecture Notes in Computer Science, vol.4747, pp.11-23, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-01535501
Cadiaplayer: A simulation-based general game player, IEEE Trans. Comput. Intellig. and AI in Games, vol.1, issue.1, pp.4-15, 2009. ,
Clustering Formal Concepts to Discover Biologically Relevant Knowledge from Gene Expression Data, In Silico Biology, vol.7, issue.4-5, pp.467-483, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00294025
Direct local pattern sampling by efficient twostep random procedures, Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.582-590, 2011. ,
Linear space direct pattern sampling using coupling from the past, KDD, pp.69-77, 2012. ,
Anytime discovery of a diverse set of patterns with monte carlo tree search, Data Min. Knowl. Discov, vol.32, issue.3, pp.604-650, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01418663
Local subgroup discovery for eliciting and understanding new structure-odor relationships, Discovery Science -19th International Conference, vol.9956, pp.19-34, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01346660
A Pattern Mining Approach to Study Strategy Balance in RTS Games, IEEE Trans. Comput. Intellig. and AI in Games, vol.9, issue.2, pp.123-132, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01252728
Constraint-based data mining, Data Mining and Knowledge Discovery Handbook, pp.339-354, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00567915
The partricluster algorithm for gene expression analysis, International Journal of Parallel Programming, vol.36, pp.226-249, 2008. ,
One in a million: picking the right patterns, Knowl. Inf. Syst, vol.18, issue.1, pp.61-81, 2009. ,
A survey of monte carlo tree search methods, IEEE Trans. Comput. Intellig. and AI in Games, vol.4, issue.1, pp.1-43, 2012. ,
Fast generation of best interval patterns for nonmonotonic constraints, ECML PKDD, pp.157-172, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01186718
Revisiting pattern structure projections, Formal Concept Analysis, pp.200-215, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01186719
Analysis of gene expression microarrays for phenotype classification, Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology (ISMB), pp.75-85, 2000. ,
NMEEF-SD: non-dominated multiobjective evolutionary algorithm for extracting fuzzy rules in subgroup discovery, IEEE Trans. Fuzzy Systems, vol.18, issue.5, pp.958-970, 2010. ,
Relaxed functional dependencies -A survey of approaches, IEEE Trans. Knowl. Data Eng, vol.28, issue.1, pp.147-165, 2016. ,
The lattices of closure systems, closure operators, and implicational systems on a finite set: A survey, Discrete Applied Mathematics, vol.127, issue.2, pp.241-269, 2003. ,
URL : https://hal.archives-ouvertes.fr/hal-00095569
Closed patterns meet n-ary relations, TKDD, vol.3, issue.1, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-01499247
Biclustering of expression data, Proc. 8th International Conference on Intelligent Systems for Molecular Biology (ISBM), pp.93-103, 2000. ,
Starcraft from the stands: understanding the game spectator, Proceedings of the Conference on Human Factors in Computing Systems (CHI), pp.763-772, 2011. ,
Characterization of order-like dependencies with formal concept analysis, Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications, vol.1624, pp.123-134, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01348496
Introduction to Lattices and Order, 1990. ,
Evolutionary fuzzy rule induction process for subgroup discovery: A case study in marketing, IEEE Trans. Fuzzy Systems, vol.15, issue.4, pp.578-592, 2007. ,
Galois connections and complete sublattices, Galois Connections and Applications, pp.211-229, 2004. ,
Learning probabilistic behavior models in real-time strategy games, Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp.20-25, 2011. ,
On Deletion in Delaunay Triangulations, Proceedings of the Fifteenth Annual Symposium on Computational Geometry, pp.181-188, 1999. ,
URL : https://hal.archives-ouvertes.fr/inria-00167201
Efficient mining of emerging patterns: Discovering trends and differences, Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.43-52, 1999. ,
Exceptional model mining -supervised descriptive local pattern mining with complex target concepts, Data Min. Knowl. Discov, vol.30, issue.1, pp.47-98, 2016. ,
Subgroup discovery meets bayesian networks -an exceptional model mining approach, The 10th IEEE International Conference on Data Mining, pp.158-167, 2010. ,
, Data Mining: Introductory and Advanced Topics, 2002.
Discovering conditional functional dependencies, IEEE Trans. Knowl. Data Eng, vol.23, issue.5, pp.683-698, 2011. ,
Multi-interval discretization of continuous-valued attributes for classification learning, IJCAI, pp.1022-1029, 1993. ,
From data mining to knowledge discovery: an overview, Advances in knowledge discovery and data mining, pp.1-34, 1996. ,
The kdd process for extracting useful knowledge from volumes of data, Commun. ACM, vol.39, issue.11, pp.27-34, 1996. ,
Foundations of Rule Learning. Cognitive Technologies, 2012. ,
An invitation to knowledge space theory, Formal Concept Analysis -14th International Conference, pp.3-19, 2017. ,
Pattern structures and their projections, ICCS 2001, pp.129-142, 2001. ,
Conceptual Exploration, 2016. ,
Formal Concept Analysis, 1999. ,
A survey of emerging patterns for supervised classification, Artif. Intell. Rev, vol.42, issue.4, pp.705-721, 2014. ,
Closed sets for labeled data, Journal of Machine Learning Research, vol.9, pp.559-580, 2008. ,
Feature selection as a one-player game, Proceedings of the 27th International Conference on Machine Learning (ICML-10), pp.359-366, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00484049
Interestingness measures for data mining: A survey, ACM Comput. Surv, vol.38, issue.3, 2006. ,
20 years of pattern mining: a bibliometric survey, SIGKDD Explor. Newsl, vol.15, issue.1, pp.41-50, 2013. ,
Dense neighborhood pattern sampling in numerical data, SIAM, pp.756-764, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01889220
, Formal Concept Analysis -12th International Conference, vol.2014, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01314560
, General Lattice Theory, 1971.
On subgroup discovery in numerical domains, Data Min. Knowl. Discov, vol.19, issue.2, pp.210-226, 2009. ,
Familles minimales d'implications informatives résultant d'un tableau de données binaires, Mathématiques et Sciences Humaines, vol.95, pp.5-18, 1986. ,
Mining relevant interval rules, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01584981
Direct Clustering of a Data Matrix, Journal of the American Statistical Association, vol.67, issue.337, pp.123-129, 1972. ,
Learning from imbalanced data, IEEE Trans. on Knowl. and Data Eng, 2009. ,
All-moves-as-first heuristics in monte-carlo go, Proceedings of the 2009 International Conference on Artificial Intelligence, vol.2009, pp.605-610, 2009. ,
An overview on subgroup discovery: foundations and applications, Knowl. Inf. Syst, vol.29, issue.3, pp.495-525, 2011. ,
Alpine: Progressive itemset mining with definite guarantees, SIAM, pp.63-71, 2017. ,
Comparing images using the hausdorff distance, IEEE Trans. Pattern Anal. Mach. Intell, vol.15, issue.9, pp.850-863, 1993. ,
Concept-based biclustering for internet advertisement, 12th IEEE International Conference on Data Mining Workshops (ICDM), pp.123-130, 2012. ,
Trias -an algorithm for mining iceberg tri-lattices, ICDM, pp.907-911, 2006. ,
Mining frequent closed cubes in 3d datasets, Proceedings of the 32nd International Conference on Very Large Data Bases (VLDB), pp.811-822, 2006. ,
Elements of relational database theory, Handbook of theoretical computer science, pp.1073-1156, 1990. ,
Embedding tolerance relations in formal concept analysis: an application in information fusion, CIKM, pp.1689-1692, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00600205
Three interrelated FCA methods for mining biclusters of similar values on columns, Proceedings of the Eleventh International Conference on Concept Lattices and Their Applications, vol.1252, pp.243-254, 2014. ,
Biclustering meets triadic concept analysis, Ann. Math. Artif. Intell, vol.70, issue.1-2, pp.55-79, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01101143
Biclustering numerical data in formal concept analysis, LNCS, vol.6628, pp.135-150 ,
URL : https://hal.archives-ouvertes.fr/inria-00600203
, , 2011.
Revisiting Numerical Pattern Mining with Formal Concept Analysis, IJCAI, pp.1342-1347, 2011. ,
URL : https://hal.archives-ouvertes.fr/inria-00600222
Mining gene expression data with pattern structures in fca, Inf. Sci, vol.181, issue.10, 1989. ,
Exceptional contextual subgraph mining, Machine Learning, vol.106, pp.1171-1211, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01488732
Watch me playing, i am a professional: a first study on video game live streaming, Proceedings of the 21st World Wide Web Conference, pp.1181-1188, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00697150
Two fca-based methods for mining gene expression data, Proceedings of the 7th International Conference on Formal Concept Analysis (ICFCA), vol.5548, pp.251-266, 2009. ,
Bandit based monte-carlo planning, Machine Learning: ECML 2006, 17th European Conference on Machine Learning, vol.4212, pp.282-293, 2006. ,
Discretization algorithm that uses class-attribute interdependence maximization, pp.980-987, 2001. ,
A Fast Algorithm for Computing all Intersections of Objects in a Finite Semilattice, Automatic Documentation and Mathematical Linguistics, vol.27, pp.11-21, 1993. ,
Galois connections in data analysis: Contributions from the soviet era and modern russian research, Formal Concept Analysis, Foundations and Applications, vol.3626, pp.196-225, 2005. ,
Comparing Performance of Algorithms for Generating Concept Lattices, Journal of Experimental and Theoretical Artificial Intelligence, vol.14, pp.189-216, 2002. ,
Knowledge representation and processing with formal concept analysis, Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery, vol.3, issue.3, pp.200-215, 2013. ,
Mining the lattice of binary classifiers for identifying duplicate labels in behavioral data, Advances in Artificial Intelligence: From Theory to Practice -30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, vol.10351, pp.12-21, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01551395
Rule evaluation measures: A unifying view, Inductive Logic Programming, 9th International Workshop, ILP-99, vol.1634, pp.174-185, 1999. ,
Sequential pattern mining in starcraft: Brood war for short and longterm goals, Proceedings of the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp.281-288, 2014. ,
A triadic approach to formal concept analysis, ICCS, vol.954, pp.32-43, 1995. ,
Exceptional model mining, Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD, vol.5212, pp.1-16, 2008. ,
On selecting interestingness measures for association rules: User oriented description and multiple criteria decision aid, European Journal of Operational Research, vol.184, issue.2, pp.610-626, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-02316548
Chemical features mining provides new descriptive structure-odor relationships, PLOS Computational Biology, vol.15, issue.4, pp.1-21, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02343686
Functional and approximate dependency mining: database and fca points of view, Journal of Experimental and Theoretical Artificial Intelligence, vol.14, issue.2-3, pp.93-114, 2002. ,
URL : https://hal.archives-ouvertes.fr/hal-00286642
Mining statistically significant sequential patterns, IEEE 13th International Conference on Data Mining, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00922255
A new evolutionary algorithm for mining top-k discriminative patterns in high dimensional data, Appl. Soft Comput, vol.59, pp.487-499, 2017. ,
Biclustering algorithms for biological data analysis: a survey, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.1, issue.1, pp.24-45, 2004. ,
The Theory of Relational Databases, 1983. ,
Efficient algorithms for finding richer subgroup descriptions in numeric and nominal data, ICDM, 2012. ,
Introduction to information retrieval, 2008. ,
SeqScout: Using a Bandit Model to Discover Interesting Subgroups in Labeled Sequences, IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02282082
Rocsearch -an roc-guided search strategy for subgroup discovery, Proceedings of the 2014 SIAM International Conference on Data Mining, pp.704-712, 2014. ,
Mathematical classification and clustering, Kluwer academic publisher, 1996. ,
Clustering for data mining: a data recovery approach, 2005. ,
Approximate bicluster and tricluster boxes in the analysis of binary data, Proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, vol.6743, pp.248-256, 2011. ,
Predicting dynamic difficulty, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems, pp.2007-2015, 2011. ,
Machine learning. McGraw Hill series in computer science, 1997. ,
Instant exceptional model mining using weighted controlled pattern sampling, Proceedings IDA 2014, pp.203-214, 2014. ,
Keystroke dynamics as a biometric for authentication. Future Generation Computer Systems, 2000. ,
Traversing itemset lattice with statistical metric pruning, ACM SIGMOD-SIGACT-SIGART, pp.226-236, 2000. ,
Formal concept analysis for the identification of combinatorial biomarkers in breast cancer, Formal Concept Analysis, 6th International Conference (ICFCA), vol.4933, pp.229-240, 2008. ,
CSM-SD: methodology for contrast set mining through subgroup discovery, Journal of Biomedical Informatics, vol.42, issue.1, pp.113-122, 2009. ,
Supervised descriptive rule discovery: A unifying survey of contrast set, emerging pattern and subgroup mining, Journal of Machine Learning Research, vol.10, pp.377-403, 2009. ,
A survey of realtime strategy game AI research and competition in starcraft, IEEE Trans. Comput. Intellig. and AI in Games, vol.5, issue.4, pp.293-311, 2013. ,
Maintenance of Configurations in the Plane, J. Comput. Syst. Sci, vol.23, issue.2, pp.166-204, 1981. ,
Multi-objective evolutionary approach for subgroup discovery, Hybrid Artificial Intelligent Systems -6th International Conference, vol.6679, pp.271-278, 2011. ,
Rough sets, International Journal of Parallel Programming, vol.11, issue.5, pp.341-356, 1982. ,
Typing patterns: A key to user identification, IEEE Security & Privacy, vol.2, issue.5, pp.40-47, 2004. ,
Prefixspan: Mining sequential patterns by prefix-projected growth, Proceedings of the 17th International Conference on Data Engineering, pp.215-224, 2001. ,
Assessment of discretization techniques for relevant pattern discovery from gene expression data, Proceedings of the 4th ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2004), pp.24-30, 2004. ,
URL : https://hal.archives-ouvertes.fr/hal-01514749
Formal concept analysis in knowledge processing: A survey on applications, Expert Syst. Appl, vol.40, issue.16, pp.6538-6560, 2013. ,
Formal concept analysis in knowledge processing: A survey on models and techniques, Expert Syst. Appl, vol.40, issue.16, pp.6601-6623, 2013. ,
A Systematic Comparison and Evaluation of Biclustering Methods for Gene Expression Data, Bioinformatics, vol.22, issue.9, pp.1122-1129, 2006. ,
Computing closed skycubes, vol.3, pp.838-847, 2010. ,
Database Management Systems, 2000. ,
Searching for rules to detect defective modules: A subgroup discovery approach, Inf. Sci, vol.191, pp.14-30, 2012. ,
Lattices and Ordered Sets, 2008. ,
Artificial Intelligence -A Modern Approach (3. internat. ed.). Pearson Education, 2010. ,
An equivalence between relational database dependencies and a fragment of propositional logic, Journal of the ACM, vol.28, issue.3, pp.435-453, 1981. ,
Single-player monte-carlo tree search, Computers and Games, 6th International Conference, vol.5131, pp.1-12, 2008. ,
Mastering the game of go with deep neural networks and tree search, Nature, vol.529, issue.7587, pp.484-489, 2016. ,
Impurity measures in databases, Acta Inf, vol.38, issue.5, pp.307-324, 2002. ,
Relational Database Systems, 1995. ,
Mining dominant patterns in the sky, 11th IEEE International Conference on Data Mining, ICDM 2011, pp.655-664, 2011. ,
URL : https://hal.archives-ouvertes.fr/inria-00623566
Predicting opponent's production in real-time strategy games with answer set programming. Computational Intelligence and AI in Games, IEEE Transactions on, issue.99, pp.1-1, 2014. ,
Location-based social networks, Recommender Systems for Location-based Social Networks, SpringerBriefs in Electrical and Computer Engineering, pp.35-48, 2014. ,
A bayesian model for opening prediction in RTS games with application to starcraft, 2011 IEEE Conference on Computational Intelligence and Games, pp.281-288, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00607277
Raising the Stakes:E-Sports and the Professionalization of Computer Gaming, 2012. ,
Mining biological information from 3d short time-series gene expression data: the optricluster algorithm, BMC Bioinformatics, vol.13, p.54, 2012. ,
Video game telemetry as a critical tool in the study of complex skill learning, PLoS ONE, 2013. ,
Principles of Database Systems and Knowledge-Based Systems, volumes 1-2, 1989. ,
Formal Concept Analysis for Knowledge Discovery and Data Mining: The New Challenges, LNCS, vol.2961, pp.352-371, 2004. ,
Addintent: A new incremental algorithm for constructing concept lattices, Concept Lattices, Second International Conference on Formal Concept Analysis, ICFCA, vol.2961, pp.372-385, 2004. ,
Interactive data exploration using pattern mining, Interactive Knowledge Discovery and Data Mining in Biomedical Informatics -State-ofthe-Art and Future Challenges, vol.8401, pp.169-182 ,
, , 2014.
Diverse subgroup set discovery, Data Min. Knowl. Discov, vol.25, issue.2, pp.208-242, 2012. ,
Discovering skylines of subgroup sets, Machine Learning and Knowledge Discovery in Databases -European Conference, ECML PKDD Proceedings, Part III, vol.8190, pp.272-287, 2013. ,
Machine learning and data mining in call of duty (invited industrial talk), Machine Learning and Knowledge Discovery in Databases -European Conference, 2014. ,
Polyadic concept analysis, Order, vol.19, issue.3, pp.295-304, 2002. ,
Case-based reasoning for build order in real-time strategy games, Proceedings of the Fifth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp.106-111, 2009. ,
A data mining approach to strategy prediction, Symposium on Computational Intelligence and Games, 2009. ,
Restructuring lattice theory: an approach based on hierarchies of concepts, Ordered Sets, pp.445-470, 1982. ,
Why can concept lattices support knowledge discovery in databases, Journal of Experimental and Theoretical Artificial Intelligence, vol.14, issue.2-3, pp.81-92, 2002. ,
An algorithm for multi-relational discovery of subgroups, Principles of Data Mining and Knowledge Discovery, First European Symposium, PKDD '97, vol.1263, pp.78-87, 1997. ,
Citybeat: realtime social media visualization of hyper-local city data, WWW 2014, Companion Volume, pp.167-170, 2014. ,
Behavioural biometrics: a survey and classification, International Journal of Biometrics, 2008. ,
Masters of control: Behavioral patterns of simultaneous unit group manipulation in starcraft 2, Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI), 2015. ,
Discretization methods, Data Mining and Knowledge Discovery Handbook, pp.101-116, 2010. ,
An efficient sweep-line Delaunay triangulation algorithm, Computer-Aided Design, vol.37, issue.10, pp.1027-1038, 2005. ,
Tricluster: an effective algorithm for mining coherent clusters in 3d microarray data, Proceedings of the 2005 ACM SIGMOD international conference on Management of data, SIGMOD '05, pp.694-705, 2005. ,
Using anytime algorithms in intelligent systems, AI Magazine, vol.17, issue.3, pp.73-83, 1996. ,
Supervised Pattern Mining and Applications to Classification, Frequent Pattern Mining, pp.425-442, 2014. ,