CINQ 2004 - PDF Preprint Papers

CINQ 2004 Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries

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CINQ
2004
Springer

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A Data Mining Query Language for Knowledge Discovery in a Geographical Information System

13 years 10 months ago

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Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...

Donato Malerba, Annalisa Appice, Michelangelo Ceci

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Id	Views	Title	Status

1	225	A Data Mining Query Language for Knowledge Discovery in a Geographical Information System	claim
2	189	Employing Inductive Databases in Concrete Applications	claim
3	182	Mining Constrained Graphs: The Case of Workflow Systems	claim
4	180	Interactivity, Scalability and Resource Control for Efficient KDD Support in DBMS	claim
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6	163	Frequent Itemset Discovery with SQL Using Universal Quantification	claim
7	157	Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach	claim
8	151	Query Languages Supporting Descriptive Rule Mining: A Comparative Study	claim
9	138	Relevancy in Constraint-Based Subgroup Discovery	claim
10	133	Inductive Querying for Discovering Subgroups and Clusters	claim
11	131	Model-Independent Bounding of the Supports of Boolean Formulae in Binary Data	claim
12	125	The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery	claim
13	125	Deducing Bounds on the Support of Itemsets	claim
14	123	One-Sided Instance-Based Boundary Sets	claim
15	119	How to Quickly Find a Witness	claim
16	118	Boolean Formulas and Frequent Sets	claim
17	116	A Survey on Condensed Representations for Frequent Sets	claim
18	116	Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining	claim

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