R. Agrawal, T. Imielinski, and A. Swami, Mining association rules between sets of items in large databases, International Conference on Management of Data (SIGMOD), p.144, 1993.

N. Ahmad, A. Haleem, and A. A. Syed, Compilation of Critical Success Factors in Implementation of Enterprise Systems: A Study on Indian Organisations, In: Global Journal of Flexible Systems Management, vol.13, issue.4, pp.217-232, 2012.

M. M. Ahmad and R. P. Cuenca, Critical Success Factors for ERP Implementation in SMEs, Robot. Comput.-Integr. Manuf, vol.29, issue.3, pp.104-111, 2013.

M. Al-mashari, A. Al-mudimigh, and M. Zairi, Enterprise resource planning: A taxonomy of critical factors, European Journal of Operational Research, vol.146, issue.2, pp.352-364, 2003.

S. Andrews, Final version of paper accepted (via peer review) for the International Conference on Conceptual Structures (ICCS), International Conference on Conceptual Structures (ICCS), p.80, 2009.

B. Arinze and M. Anandarajan, A Framework for Using OO Mapping Methods to Rapidly Configure ERP Systems, Commun. ACM, vol.46, issue.2, p.36, 2003.
DOI : 10.1145/606272.606274

N. Aribi, A. Ouali, Y. Lebbah, and S. Loudni, Equitable Conceptual Clustering Using OWA Operator, Advances in Knowledge Discovery and Data Mining-22nd Pacific-Asia Conference, pp.465-477, 2018.
DOI : 10.1007/978-3-319-93040-4_37

URL : https://hal.archives-ouvertes.fr/hal-01709850

G. Arévalo, A. Berry, M. Huchard, G. Perrot, and A. Sigayret, Performances of Galois Sub-hierarchy-building algorithms, LNAI 4390. voir hal# lirmm-00163381 pour le rapport de recherche au format PDF, p.80, 2007.

N. Beldiceanu, M. Carlsson, and J. Rampon, Global Constraint Catalog, p.64, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00485396

N. Beldiceanu, Pruning for the Minimum Constraint Family and for the Number of Distinct Values Constraint Family, Principles and Practice of Constraint Programming-CP, vol.126, p.66, 2001.

C. Bessière and P. Van-hentenryck, To Be or Not to Be ... a Global Constraint, Principles and Practice of Constraint Programming (CP)

C. Bessiere, E. Hebrard, B. Hnich, and T. Walsh, Disjoint, Partition and Intersection Constraints for Set and Multiset Variables, Principles and Practice of Constraint Programming-CP, p.66, 2004.
DOI : 10.1007/978-3-540-30201-8_13

URL : https://hal.archives-ouvertes.fr/lirmm-00108915

C. Bessiere, E. Hebrard, B. Hnich, and T. Walsh, The Complexity of Global Constraints, Proceedings of the 19th National Conference on Artifical Intelligence. AAAI'04, p.65, 2004.
URL : https://hal.archives-ouvertes.fr/lirmm-00108868

C. Bessiere, E. Hebrard, B. Hnich, Z. Kiziltan, and T. Walsh, Filtering Algorithms for the NValue Constraint". In: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, vol.124, pp.126-128, 2005.
URL : https://hal.archives-ouvertes.fr/lirmm-00106098

C. Bessière, E. Hébrard, B. Hnich, and T. Walsh, The Complexity of Reasoning with Global Constraints, Constraints, vol.12, issue.2, p.65, 2007.

C. Bessiere and R. Debruyne, Theoretical analysis of singleton arc consistency and its extensions, Artificial Intelligence, vol.172, p.60, 2008.
DOI : 10.1016/j.artint.2007.09.001

URL : https://hal.archives-ouvertes.fr/lirmm-00230949

C. Bessiere, G. Katsirelos, N. Narodytska, and T. Walsh, Circuit Complexity and Decompositions of Global Constraints, Proceedings of the 21st International Jont Conference on Artifical Intelligence. IJCAI'09, p.65, 2009.
URL : https://hal.archives-ouvertes.fr/lirmm-00382608

C. Bessiere, G. Katsirelos, N. Narodytska, C. Quimper, and T. Walsh, Decomposition of the NVALUE constraint, p.66, 2009.
URL : https://hal.archives-ouvertes.fr/lirmm-00558048

C. Bessiere, Arc-consistency and arc-consistency again, Artificial Intelligence, vol.65, p.60, 1994.

J. C. Bezdek and J. D. Harris, Fuzzy partitions and relations; an axiomatic basis for clustering, Fuzzy Sets and Systems, vol.1, p.83, 1978.
DOI : 10.1016/0165-0114(78)90012-x

J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, p.83, 1981.
DOI : 10.1007/978-1-4757-0450-1

V. Botta-genoulaz, P. Millet, and B. Grabot, A Survey on the Recent Literature on ERP Systems, pp.510-522, 2005.
DOI : 10.1016/j.compind.2005.02.004

URL : https://hal.archives-ouvertes.fr/hal-00392165

A. Biere, A. Biere, M. Heule, H. Van-maaren, and T. Walsh, Handbook of Satisfiability: Volume 185 Frontiers in Artificial Intelligence and Applications, p.74, 2009.

P. Bingi, M. K. Sharma, and J. K. Godla, Critical Issues Affecting an ERP Implementation, Information Systems Management, vol.16, issue.3, p.28, 1999.

L. Brehm, A. Heinzl, and M. Markus, Tailoring ERP Systems: A Spectrum of Choices and Their Implications, Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34, vol.8, p.29, 2001.

D. Bucher and J. Meissner, Automatic Parameter Configuration for Inventory Management in SAP ERP/APO, vol.37, p.36, 2010.

M. Chabert, P. Champin, A. Cordier, and C. Solnon, Comparaison de différents modèles de programmation par contraintes pour le clustering conceptuel, Actes JPFC 2017, p.20, 2017.

M. Chabert and C. Solnon, Constraint Programming for Multi-criteria Conceptual Clustering, Principles and Practice of Constraint Programming-23rd International Conference, vol.10416, pp.460-476, 2017.
DOI : 10.1007/978-3-319-66158-2_30

URL : https://hal.archives-ouvertes.fr/hal-01544239

M. Chabert and C. Solnon, A Global Constraint for the Exact Cover Problem: Application to Conceptual Clustering, Doctoral Program of CP 2018, p.20, 2018.

Y. Cheng and K. S. Fu, Conceptual Clustering in Knowledge Organization, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, p.81, 1985.
DOI : 10.1109/tpami.1985.4767706

S. H. Chung and C. A. Snyder, ERP Initiation-A Historical Perspective, Proceedings of the Fifth Americas Conference on Information Systems August 13-15, p.24, 1999.

T. Dao, W. Lesaint, and C. Vrain, Clustering conceptuel et relationnel en programmation par contraintes, JFPC 2015, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01151527

T. Dao, K. Duong, and C. Vrain, Constrained Clustering by Constraint Programming, Artificial Intelligence, vol.86, pp.103-105, 2015.
DOI : 10.1016/j.artint.2015.05.006

URL : https://hal.archives-ouvertes.fr/hal-01162640

A. Dardenne, A. Van-lamsweerde, and S. Fickas, Goal-directed Requirements Acquisition, Selected Papers of the Sixth International Workshop on Software Specification and Design. 6IWSSD, p.28, 1993.
DOI : 10.1016/0167-6423(93)90021-g

URL : https://doi.org/10.1016/0167-6423(93)90021-g

J. Davies and F. Bacchus, Solving MAXSAT by Solving a Sequence of Simpler SAT Instances, Principles and Practice of Constraint Programming-17th International Conference, vol.6876, p.114, 2011.

D. Dheeru and E. K. Taniskidou, UCI Machine Learning Repository, p.99, 2017.

D. Diaz and P. Codognet, GNU Prolog: Beyond Compiling Prolog to C, Practical Aspects of Declarative Languages, p.72, 2000.
DOI : 10.1007/3-540-46584-7_6

URL : https://hal.archives-ouvertes.fr/hal-00668314

Y. Dittrich, S. Vaucouleur, and S. Giff, ERP Customization as Software Engineering: Knowledge Sharing and Cooperation, IEEE Software, vol.26, p.29, 2009.
DOI : 10.1109/ms.2009.173

T. N. Do, S. Moga, and P. Lenca, Advanced approaches to intelligent information and database systems (Studies in Computational Intelligence, ACIIDS 2014 : the 6th Asian Conference on Intelligent Information and Database Systems, vol.551, p.36, 2014.

K. Duong, Constrained clustering by constraint programming". Theses, vol.81, p.69, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01162640

I. Erasmus and M. Daneva, ERP services effort estimation strategies based on early requirements, 2nd International Workshop on Requirements Engineering for the Precontract Phase (RE4P2) at REFSQ 2015. Ed. by A. Kalenborg and M. Trapp. CEUR Workshop Proceedings. CEUR-WS.org, pp.83-99, 2015.
DOI : 10.1109/iwsm-mensura.2013.25

J. Fages and C. Prud'homme, Making the First Solution Good, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI, p.69, 2017.
DOI : 10.1109/ictai.2017.00164

URL : https://hal.archives-ouvertes.fr/hal-01629182

T. W. Ferratt, S. Ahire, and P. De, Achieving Success in Large Projects: Implications from a Study of ERP Implementations, Interfaces, vol.36, p.29, 2006.

D. H. Fisher, Knowledge Acquisition Via Incremental Conceptual Clustering, Mach. Learn, vol.2, issue.2, pp.139-172, 1987.
DOI : 10.1007/bf00114265

URL : https://link.springer.com/content/pdf/10.1007%2FBF00114265.pdf

D. Fisher, Iterative Optimization and Simplification of Hierarchical Clusterings, J. Artif. Int. Res, vol.4, issue.1, p.148, 1996.
DOI : 10.1613/jair.276

URL : https://jair.org/index.php/jair/article/download/10162/24096

A. Floch, C. Wolinski, and K. Kuchcinski, Combined scheduling and instruction selection for processors with reconfigurable cell fabric, 21st IEEE International Conference on Application-specific Systems Architectures and Processors, p.96, 2010.
DOI : 10.1109/asap.2010.5540997

URL : https://hal.archives-ouvertes.fr/inria-00480680

J. F. Rockart, Chief Executives Define Their Own Data Needs, p.30, 1979.

E. C. Freuder, In Pursuit of the Holy Grail, Constraints, vol.2, p.72, 1997.

B. Ganter and R. Wille, Formal Concept Analysis: Mathematical Foundations, vol.75, p.52, 1997.

N. Garg, M. Sadiq, and P. Agarwal, GOASREP: Goal Oriented Approach for Software Requirements Elicitation and Prioritization Using Analytic Hierarchy Process, Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications : FICTA 2016, vol.2, p.28, 2017.
DOI : 10.1007/978-981-10-3156-4_28

M. Gavanelli, An Algorithm for Multi-criteria Optimization in CSPs, Proceedings of the 15th European Conference on Artificial Intelligence. ECAI'02, pp.136-140, 2002.

M. Gebser, B. Kaufmann, and T. Schaub, Conflict-driven answer set solving: From theory to practice, Artif. Intell, vol.187, pp.52-89, 2012.
DOI : 10.1016/j.artint.2012.04.001

URL : https://doi.org/10.1016/j.artint.2012.04.001

C. Gervet, Set Intervals in Constraint Logic Programming: Definition and implementation of a language, p.63, 1995.
URL : https://hal.archives-ouvertes.fr/tel-01742415

S. W. Golomb and L. D. Baumert, Backtrack Programming". In: J. ACM, vol.12, issue.4, p.63, 1965.

B. Grabot, A. Mayère, F. Lauroua, and R. Houe-ngouna, ERP 2.0, what for and how?, p.25, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01470608

R. Gumaer, Beyond ERP and MRP II: optimized planning and synchronized manufacturing. (Enterprise Resource Planning; Manufacturing Resource Planning), p.24, 1996.

T. Guns, S. Nijssen, and L. D. Raedt, Itemset mining: A constraint programming perspective, Artif. Intell, vol.175, p.80, 2011.
DOI : 10.1016/j.artint.2011.05.002

URL : https://doi.org/10.1016/j.artint.2011.05.002

T. Guns, Declarative pattern mining using constraint programming, In: Constraints, vol.20, issue.4, pp.492-493, 2015.
DOI : 10.1007/s10601-015-9220-z

URL : https://link.springer.com/content/pdf/10.1007%2Fs10601-015-9220-z.pdf

M. M. Halldórsson and J. Radhakrishnan, Greed is good: Approximating independent sets in sparse and bounded-degree graphs, Algorithmica, vol.18, p.124, 1997.

G. H. Blindell, Universal Instruction Selection". PhD thesis. KTH, Software and Computer systems, SCS, vol.95, p.91, 2018.

P. V. Hentenryck and J. Carillon, Generality versus Specificity: An Experience with AI and OR Techniques, p.66, 1988.

S. Huang, Y. Hung, H. Chen, and C. Ku, Transplanting the best practice for implementation of an ERP system: A structured inductive study of an international company, p.29, 2004.

C. Hébert and B. Crémilleux, A Unified View of Objective Interestingness Measures, MLDM. 2007 (cit, p.144

P. Jaccard, Distribution de la flore alpine dans le bassin des Dranses et dans quelques régions voisines, Bulletin de la Société Vaudoise des Sciences Naturelles, p.79, 1901.

J. Jansson and F. Jonsson, Development of an ERP Requirements Specification Method by Applying Rapid Contextual Design : A Case Study of a Medium-sized Enterprise, p.28, 2015.

T. Junttila and P. Kaski, Exact Cover via Satisfiability: An Empirical Study, Principles and Practice of Constraint Programming-CP 2010, vol.97, pp.116-118, 2010.
DOI : 10.1007/978-3-642-15396-9_25

R. M. Karp, Reducibility among Combinatorial Problems, Complexity of Computer Computations, p.88, 1972.
DOI : 10.1007/978-3-540-68279-0_8

P. Kaski and O. Pottonen, libexact User s Guide, Version 1.0, HIIT Technical Reports, vol.187, 2008.

M. Khiari, P. Boizumault, and B. Crémilleux, Constraint Programming for Mining n-ary Patterns, Principles and Practice of Constraint Programming-CP 2010-16th International Conference, p.80, 2010.
DOI : 10.1007/978-3-642-15396-9_44

URL : https://hal.archives-ouvertes.fr/hal-01016652

D. E. Knuth, Dancing links, In: Millenial Perspectives in Computer Science, vol.18, pp.114-116, 2009.

J. Kogan, C. Nicholas, and M. Teboulle, Grouping Multidimensional Data: Recent Advances in Clustering, p.83, 2006.

S. O. Kuznetsov and S. Obiedkov, Comparing Performance of Algorithms for Generating Concept Lattices, In: JOURNAL OF EXPERIMENTAL AND THEORETICAL ARTIFICIAL INTELLIGENCE, vol.14, p.80, 2002.

S. O. Kuznetsov, Learning of Simple Conceptual Graphs from Positive and Negative Examples, Principles of Data Mining and Knowledge Discovery, p.80, 1999.

S. S. Klaus-wölfel and J. Smets, Automating ERP Package Configuration for Small Businesses, p.36, 2016.

A. A. Kähkönen, Knowledge Transfer Challenges in ERP Development Networks: The Quest for a Shared Development Model, 27th Bled eConference: eEcosystems, vol.30, p.28, 2014.

C. Lacombe, R. Pochelu, S. Tazi, and Y. Ducq, Model-Driven Enterprise Resource Planning Specifications in SMEs, IFIP International Conference on Advances in Production Management Systems (APMS)
URL : https://hal.archives-ouvertes.fr/hal-01387318

. Ed, B. Grabot, S. Vallespir, A. Gomes, D. Bouras et al., AICT-440. Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World Part III. Part 2: Case Studies, p.28, 2014.

N. Lavra?, P. Flach, and B. Zupan, Rule Evaluation Measures: A Unifying View, p.144, 1999.

Y. C. Law and J. H. Lee, Global Constraints for Integer and Set Value Precedence, 10th International Conference on Principles and Practice of Constraint Programming (CP), vol.85, p.66, 2004.

N. Lazaar, Y. Lebbah, S. Loudni, M. Maamar, V. Lemière et al., A Global Constraint for Closed Frequent Pattern Mining, Principles and Practice of Constraint Programming-22nd International Conference, p.80, 2016.
URL : https://hal.archives-ouvertes.fr/lirmm-01374719

, A Bounds-Based Reduction Scheme for Difference Constraints, p.60, 1996.

B. Light, The Maintenance Implications of the Customization of ERP Software, p.29, 2001.

B. Light, Going Beyond 'Misfit' As a Reason for ERP Package Customisation, Comput. Ind, vol.56, issue.6, p.29, 2005.

A. Lopez-ortiz, C. Quimper, J. Tromp, and P. Van-beek, A Fast and Simple Algorithm for Bounds Consistency of the All Different Constraint, Proceedings of the 18th International Joint Conference on Artificial Intelligence. IJCAI'03, p.60, 2003.

J. Luis, D. V. González, and J. S. Díaz, Business process-driven requirements engineering: a goal-based approach (cit, p.28

W. Luo and D. M. Strong, A framework for evaluating ERP implementation choices, IEEE Transactions on Engineering Management, vol.51, issue.3, p.29, 2004.

J. Macqueen, Some methods for classification and analysis of multivariate observations, Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol.1, p.80, 1967.

A. Mackworth, This paper was honored in Artificial Intelligence 59, 1-2, 1993 as one of the fifty most cited papers in the history of Artificial Intelligence. It also received the, Consistency in Networks of Relations". In: Artificial Intelligence, vol.8, p.58, 1977.

S. Mamoghli, Contribution to the alignment of off-the-shelf product based information systems : towards a model-driven engineering, based on risk identification, p.28, 2013.
URL : https://hal.archives-ouvertes.fr/tel-00814495

K. Mehlhorn and S. Thiel, Faster Algorithms for Bound-Consistency of the Sortedness and the Alldifferent Constraint, Principles and Practice of Constraint Programming-CP 2000, p.60, 2000.

R. S. Michalski and R. E. Stepp, Learning from Observation: Conceptual Clustering, Machine Learning: An Artificial Intelligence Approach

R. S. Michalski, J. G. Carbonell, T. M. Mitchell, and . Berlin, , pp.331-363, 1983.

R. Michalski, Knowledge Acquisition Through Conceptual Clustering: A Theoretical Framework and an Algorithm for Partitioning Data Into Conjunctive Concepts

R. Mohr and T. Henderson, Arc and Path Consistency Revisited, Artificial Intelligence, vol.28, p.60, 1986.
URL : https://hal.archives-ouvertes.fr/inria-00548487

R. Mohr and G. Masini, Good Old Discrete Relaxation, Proceedings of the 8th European Conference on Artificial Intelligence. ECAI'88
URL : https://hal.archives-ouvertes.fr/inria-00548479

M. A. Marshfield and U. , , p.60, 1988.

J. Motwani, R. Subramanian, and P. Gopalakrishna, Critical Factors for Successful ERP Implementation: Exploratory Findings from Four Case Studies, Comput. Ind, vol.56, issue.6, pp.529-544, 2005.

A. Napoli, Chapter 41-A SMOOTH INTRODUCTION TO SYMBOLIC METHODS FOR KNOWLEDGE DISCOVERY". In: Handbook of Categorization in Cognitive Science, p.75, 2005.

G. L. Nemhauser and L. A. Wolsey, Integer and Combinatorial Optimization, p.74, 1988.

P. Nightingale, The extended global cardinality constraint: An empirical survey, Artificial Intelligence, vol.175, issue.2, p.96, 2011.

P. K. Novak, N. Lavrac, and G. I. Webb, Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining, Journal of Machine Learning Research, vol.10, p.144, 2009.

A. Ouali, S. Loudni, Y. Lebbah, P. Boizumault, A. Zimmermann et al., Efficiently Finding Conceptual Clustering Models with Integer Linear Programming, Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, pp.647-654, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01597804

F. Pachet and P. Roy, Automatic Generation of Music Programs". In: Principles and Practice of Constraint Programming-CP'99, p.65, 1999.

P. C. Solutions, Panorama consulting solutions research report-2017 ERP Report, vol.29, p.28, 2017.

S. Parthasarathy and S. Sharma, Determining ERP customization choices using nominal group technique and analytical hierarchy process, Computers in Industry, vol.65, p.29, 2014.

V. Pareto, Cours d'Economie Politique. Genève: Droz, 1896 (cit, p.69

N. Pasquier, Y. Bastide, R. Taouil, and L. Lakhal, Discovering Frequent Closed Itemsets for Association Rules, Database Theory-ICDT '99, 7th International Conference, p.80, 1999.
URL : https://hal.archives-ouvertes.fr/hal-00467747

N. Pasquier, Y. Bastide, R. Taouil, and L. Lakhal, Efficient mining of association rules using closed itemset lattices, Information Systems, vol.24, p.80, 1999.

J. Pei, J. Han, and R. Mao, CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets, p.80, 2000.

C. Prud'homme, J. Fages, X. Lorca, . Choco-documentation, . Tasc et al., , 2016.

J. Puget, A Fast Algorithm for the Bound Consistency of Alldiff Constraints, Proceedings of the Fifteenth National/Tenth Conference on Artificial Intelligence/Innovative Applications of Artificial Intelligence. AAAI '98/IAAI '98, p.60, 1998.

C. Quimper, A. López-ortiz, P. Van-beek, and A. Golynski, Improved Algorithms for the Global Cardinality Constraint, Principles and Practice of Constraint Programming-CP, vol.3258, pp.542-556, 2004.

L. D. Raedt, T. Guns, and S. Nijssen, Constraint programming for itemset mining, Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, p.80, 2008.

L. Robert, A. R. Davis, and A. Mcleod, ERP Configuration: Does Situation Awareness Impact Team Performance?, In: 2011 44th Hawaii International Conference on System Sciences, pp.1-8, 2011.

C. Rolland and N. Prakash, Matching ERP System Functionality to Customer Requirements, International Symposium on Requirements Engineering, vol.46, p.1, 2001.
URL : https://hal.archives-ouvertes.fr/hal-00707080

F. Rossi, P. V. Beek, and T. Walsh, Handbook of Constraint Programming (Foundations of Artificial Intelligence), 2006.

M. Rosemann and J. Wiese, Measuring the Performance of ERP Software: a Balanced Scorecard Approach, p.25, 1999.

J. Régin, A Filtering Algorithm for Constraints of Difference in CSPs, Proceedings of the Twelfth National Conference on Artificial Intelligence, vol.1, pp.362-367, 1994.

J. Régin, Generalized Arc Consistency for Global Cardinality Constraint, Proceedings of the Thirteenth National Conference on Artificial Intelligence-Volume 1. AAAI'96, p.66, 1996.

P. Schaus and R. Hartert, Multi-Objective Large Neighborhood Search, Principles and Practice of Constraint Programming: 19th International Conference, p.71, 2013.

P. Schaus, J. O. Aoga, and T. Guns, CoverSize: A Global Constraint for Frequency-Based Itemset Mining, Principles and Practice of Constraint Programming, p.80, 2017.

R. Sharma, S. M. Patil, and A. Tandon, CUSTOMIZATION AND BEST PRACTICES MODEL FOR ADOPTING ERP SYSTEM: AN ANALYSIS, p.29, 2012.

W. Skok and M. Legge, Evaluating Enterprise Resource Planning (ERP) Systems Using an Interpretive Approach, Proceedings of the 2001 ACM SIGCPR Conference on Computer Personnel Research. SIGCPR '01, p.29, 2001.

P. Soffer, B. Golany, and D. Dori, Aligning an ERP System with Enterprise Requirements: An Object-process Based Approach, Comput. Ind, vol.56, issue.6, p.28, 2005.

C. Soh, S. Sia, and J. Tay-yap, Enterprise Resource Planning: Cultural Fits and Misfits: Is ERP a Universal Solution, p.29, 2000.

T. M. Somers and K. Nelson, The impact of critical success factors across the stages of enterprise resource planning implementations, Proceedings of the 34th Annual Hawaii International Conference on System Sciences, vol.10, p.28, 2001.

R. E. Stepp and R. S. Michalski, Conceptual clustering of structured objects: A goal-oriented approach, Artificial Intelligence, vol.28, p.81, 1986.

G. , Gecode (generic constraint development environment), vol.130, p.105, 2005.

T. Uno, T. Asai, Y. Uchida, and H. Arimura, An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases, Discovery Science: 7th International Conference, pp.16-31, 2004.

P. Van-hentenryck, Constraint Satisfaction in Logic Programming, p.67, 1989.

I. Vilpola, DEVELOPMENT AND EVALUATION OF A CUSTOMERCENTERED ERP IMPLEMENTATION METHOD, Tampere University of Technology, p.28, 2009.

M. Wallace, S. Novello, and J. Schimpf, ECLiPSe: A Platform for Constraint Logic Programming. 1997 (cit, p.72

T. Walsh, Consistency and Propagation with Multiset Constraints: A Formal Viewpoint, Principles and Practice of Constraint Programming-CP 2003, p.66, 2003.

L. N. Wassenhove and L. F. Gelders, Solving a bicriterion scheduling problem, European Journal of Operational Research, vol.4, issue.1, pp.42-48, 1980.

J. Wu, S. Shin, and M. S. Heng, A methodology for ERP misfit analysis, Information and Management, vol.44, p.29, 2007.

R. R. Yager-;-d, H. Dubois, R. R. Prade, and . Yager, On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decisionmaking". In: Readings in Fuzzy Sets for Intelligent Systems, p.82, 1993.

M. J. Zaki and C. Hsiao, Efficient Algorithms for Mining Closed Itemsets and Their Lattice Structure, IEEE Trans. on Knowl. and Data Eng, vol.17, issue.4, p.80, 2005.

M. J. Zaki and C. Hsiao, CHARM: An Efficient Algorithm for Closed Association Rule Mining. Tech. rep. COMPUTER SCIENCE, RENSSELAER POLYTECHNIC INSTITUTE, p.80, 1999.

M. J. Zaki, Scalable Algorithms for Association Mining, IEEE Trans. on Knowl. and Data Eng, vol.12, issue.3, p.80, 2000.

Y. Zhang and R. H. Yap, Making AC-3 an Optimal Algorithm, Proceedings of the 17th International Joint Conference on Artificial Intelligence-Volume 1. IJCAI'01, p.60, 2001.

N. Zhou and H. Kjellerstrand, A User s Guide to Picat, p.72, 2013.