Querying and Reasoning for Spatiotemporal Data Mining
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Miriam Baglioni | Bart Kuijpers | Fosca Giannotti | Chiara Renso | Alessandra Raffaetà | Giuseppe Manco | F. Giannotti | B. Kuijpers | G. Manco | C. Renso | Miriam Baglioni | Alessandra Raffaetà
[1] Stefano Spaccapietra,et al. Spatio-temporal conceptual models: data structures + space + time , 1999, GIS '99.
[2] Stefano Spaccapietra,et al. The MurMur project: Modeling and querying multi-representation spatio-temporal databases , 2006, Inf. Syst..
[3] Markus Schneider,et al. A foundation for representing and querying moving objects , 2000, TODS.
[4] Luc De Raedt,et al. An algebra for inductive query evaluation , 2003, Third IEEE International Conference on Data Mining.
[5] Laks V. S. Lakshmanan,et al. Exploratory mining and pruning optimizations of constrained associations rules , 1998, SIGMOD '98.
[6] Antony Galton,et al. Towards a Qualitative Theory of Movement , 1995, COSIT.
[7] Toon Calders,et al. Integrating Pattern Mining in Relational Databases , 2006, PKDD.
[8] Michelangelo Ceci,et al. A Data Mining Query Language for Knowledge Discovery in a Geographical Information System , 2004, Database Support for Data Mining Applications.
[9] Peter Z. Revesz,et al. Parametric Rectangles: A Model for Querying and Animation of Spatiotemporal Databases , 2000, EDBT.
[10] Stéphane Grumbach,et al. On the Orthographic Dimension of Constraint Databases , 1999, ICDT.
[11] Guy De Tré,et al. The Double-Cross and the Generalization Concept as a Basis for Representing and Comparing Shapes of Polylines , 2005, OTM Workshops.
[12] Jian Pei,et al. Can we push more constraints into frequent pattern mining? , 2000, KDD '00.
[13] Bart Kuijpers,et al. Towards a theory of movie database queries , 2000, Proceedings Seventh International Workshop on Temporal Representation and Reasoning. TIME 2000.
[14] Norman W. Paton,et al. The Tripod spatio-historical data model , 2004, Data Knowl. Eng..
[15] Tomasz Imielinski,et al. MSQL: A Query Language for Database Mining , 1999, Data Mining and Knowledge Discovery.
[16] Max J. Egenhofer,et al. Similarity of Cardinal Directions , 2001, SSTD.
[17] Giuseppe Psaila,et al. An Extension to SQL for Mining Association Rules , 1998, Data Mining and Knowledge Discovery.
[18] Bowman L. Clarke,et al. A calculus of individuals based on "connection" , 1981, Notre Dame J. Formal Log..
[19] Peter Z. Revesz,et al. Efficient Querying and Animation of Periodic Spatio-Temporal Databases , 2004, Annals of Mathematics and Artificial Intelligence.
[20] Luc De Raedt,et al. A Theory of Inductive Query Answering , 2010, Inductive Databases and Constraint-Based Data Mining.
[21] Donato Malerba,et al. Empowering a GIS with inductive learning capabilities: the case of INGENS , 2003, Comput. Environ. Urban Syst..
[22] Ralf Hartmut Güting,et al. Realm-based spatial data types: The ROSE algebra , 1995, The VLDB Journal.
[23] Michel Scholl,et al. The DEDALE Prototype , 2000, Constraint Databases.
[24] Franco Turini,et al. KDDML: A middleware language and system for knowledge discovery in databases , 2006, Data Knowl. Eng..
[25] Jan Chomicki,et al. Constraint-based Interoperability of Spatiotemporal Databases* , 1999, GeoInformatica.
[26] Nikos Pelekis,et al. Hermes - A Framework for Location-Based Data Management , 2006, EDBT.
[27] Dimitris Papadias,et al. Spatial Relations, Minimum Bounding Rectangles, and Spatial Data Structures , 1997, Int. J. Geogr. Inf. Sci..
[28] Frank Witlox,et al. Representing moving objects in computer-based expert systems: the overtake event example , 2005, Expert Syst. Appl..
[29] Andrew U. Frank,et al. Qualitative Spatial Reasoning: Cardinal Directions as an Example , 1996, Int. J. Geogr. Inf. Sci..
[30] Carlo Zaniolo,et al. Negation and Aggregates in Recursive Rules: the LDL++ Approach , 1993, DOOD.
[31] Stéphane Grumbach,et al. Spatio-Temporal Data Handling with Constraints , 1998, GIS '98.
[32] Andrew U. Frank,et al. Chorochronos a Research Network for Spatiotemporal Database Systems , 2022 .
[33] Franco Turini,et al. A Declarative Framework for Reasoning on Spatio-Temporal Data , 2004 .
[34] Heikki Mannila,et al. Levelwise Search and Borders of Theories in Knowledge Discovery , 1997, Data Mining and Knowledge Discovery.
[35] Franco Turini,et al. Specifying mining algorithms with iterative user-defined aggregates , 2004, IEEE Transactions on Knowledge and Data Engineering.
[36] Markus Schneider,et al. Spatio-Temporal Predicates , 2002, IEEE Trans. Knowl. Data Eng..
[37] Franco Turini,et al. Qualitative Spatial Reasoning in a Logical Framework , 2003, AI*IA.
[38] Michael F. Worboys,et al. A Unified Model for Spatial and Temporal Information , 1994, Comput. J..
[39] Max J. Egenhofer,et al. Reasoning about Binary Topological Relations , 1991, SSD.
[40] Peter Z. Revesz,et al. Introduction to Constraint Databases , 2002, Texts in Computer Science.
[41] Carlo Zaniolo,et al. Universal temporal extensions for database languages , 1999, Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337).
[42] Donna Peuquet,et al. An algorithm to determine the directional relationship between arbitrarily-shaped polygons in the plane , 1987, Pattern Recognit..
[43] Nico Van de Weghe. Representing and Reasoning about Moving Objects: A Qualitative Approach , 2004 .
[44] Anthony G. Cohn,et al. A Spatial Logic based on Regions and Connection , 1992, KR.
[45] F. Bonchi,et al. Extending the state-of-the-art of constraint-based pattern discovery , 2007, Data Knowl. Eng..
[46] Max J. Egenhofer,et al. Time in Geographic Space: Report on the Specialist Meeting of Research Initiative 10 (94-9) , 1994 .
[47] Jan Chomicki,et al. A geometric framework for specifying spatiotemporal objects , 1999, Proceedings. Sixth International Workshop on Temporal Representation and Reasoning. TIME-99.
[48] Ralf Hartmut Güting,et al. Spatio-Temporal Data Types: An Approach to Modeling and Querying Moving Objects in Databases , 1999, GeoInformatica.
[49] Laks V. S. Lakshmanan,et al. Expressive power of an algebra for data mining , 2006, TODS.
[50] Eliseo Clementini,et al. A Small Set of Formal Topological Relationships Suitable for End-User Interaction , 1993, SSD.
[51] Nectaria Tryfona,et al. Spatio-Temporal Databases: The CHOROCHRONOS Approach , 2003 .
[52] Carlo Zaniolo,et al. SQLST: A Spatio-Temporal Data Model and Query Language , 2000, ER.
[53] Laks V. S. Lakshmanan,et al. The 3W Model and Algebra for Unified Data Mining , 2000, VLDB.
[54] Christian Freksa,et al. Qualitative spatial reasoning using orientation, distance, and path knowledge , 2004, Applied Intelligence.
[55] Carlo Zaniolo,et al. ATLaS: A Native Extension of SQL for Data Mining , 2003, SDM.
[56] Franco Turini,et al. MQL: An Algebraic Query Language for Knowledge Discovery , 2003, AI*IA.
[57] Thom W. Frühwirth,et al. Spatio-temporal Annotated Constraint Logic Programming , 2001, PADL.
[58] Dino Pedreschi,et al. ExAMiner: optimized level-wise frequent pattern mining with monotone constraints , 2003, Third IEEE International Conference on Data Mining.
[59] Oscar H. Ibarra,et al. Moving Objects: Logical Relationships and Queries , 2001, SSTD.
[60] MAX J. EGENHOFER,et al. Point Set Topological Relations , 1991, Int. J. Geogr. Inf. Sci..
[61] Markus Schneider,et al. The Honeycomb Model of Spatio-Temporal Partitions , 1999, Spatio-Temporal Database Management.
[62] Leonid Libkin. Some remarks on variable independence, closure, and orthographic dimension in constraint databases , 1999, SGMD.
[63] Salvatore Orlando,et al. ConQueSt: a Constraint-based Querying System for Exploratory Pattern Discovery , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[64] Luc De Raedt,et al. A Logical Database Mining Query Language , 2000, ILP.
[65] Laks V. S. Lakshmanan,et al. Mining frequent itemsets with convertible constraints , 2001, Proceedings 17th International Conference on Data Engineering.
[66] Franco Turini,et al. Integrating knowledge representation and reasoning in Geographical Information Systems , 2004, Int. J. Geogr. Inf. Sci..
[67] Oscar H. Ibarra,et al. On Moving Object Queries , 2002, PODS.
[68] A. Cohn,et al. A qualitative trajectory calculus as a basis for representing moving objects in Geographical Information Systems , 2006 .
[69] Saso Dzeroski,et al. Multi-relational data mining: an introduction , 2003, SKDD.
[70] Matt Duckham,et al. GIS: A Computing Perspective, 2nd Edition , 1995 .
[71] Wei Wang,et al. DMQL: A Data Mining Query Language for Relational Databases , 2007 .
[72] Heikki Mannila,et al. A database perspective on knowledge discovery , 1996, CACM.
[73] Christian Freksa,et al. Using Orientation Information for Qualitative Spatial Reasoning , 1992, Spatio-Temporal Reasoning.
[74] Jiawei Han,et al. Spatial Data Mining: Progress and Challenges , 1996, Workshop on Research Issues on Data Mining and Knowledge Discovery.
[75] A. Prasad Sistla,et al. Modeling and querying moving objects , 1997, Proceedings 13th International Conference on Data Engineering.
[76] Jianwen Su,et al. On moving object queries: (extended abstract) , 2002, PODS '02.
[77] Ouri Wolfson,et al. The Geometry of Uncertainty in Moving Objects Databases , 2002, EDBT.