Rule interestingness analysis using OLAP operations
B Liu, K Zhao, J Benkler, W Xiao - Proceedings of the 12th ACM SIGKDD …, 2006 - dl.acm.org
The problem of interestingness of discovered rules has been investigated by many
researchers. The issue is that data mining algorithms often generate too many rules, which …
researchers. The issue is that data mining algorithms often generate too many rules, which …
Expressive power of an algebra for data mining
The relational data model has simple and clear foundations on which significant theoretical
and systems research has flourished. By contrast, most research on data mining has …
and systems research has flourished. By contrast, most research on data mining has …
New algebraic operators and SQL primitives for mining classification rules.
RT Pereira, M Millán, M Machuca - Computational Intelligence, 2006 - actapress.com
NEW ALGEBRAIC OPERATORS AND SQL PRIMITIVES FOR MINING CLASSIFICATION
RULES Ricardo Timarán Pereira Universidad de Nariño Departamento de Ingeniería de …
RULES Ricardo Timarán Pereira Universidad de Nariño Departamento de Ingeniería de …
Conceptual modeling for classification mining in data warehouses
J Zubcoff, J Trujillo - Data Warehousing and Knowledge Discovery: 8th …, 2006 - Springer
Classification is a data mining (DM) technique that generates classes allowing to predict and
describe the behavior of a variable based on the characteristics of a dataset. Frequently, DM …
describe the behavior of a variable based on the characteristics of a dataset. Frequently, DM …
Integrating pattern mining in relational databases
T Calders, B Goethals, A Prado - … Conference on Principles and Practice of …, 2006 - Springer
Almost a decade ago, Imielinski and Mannila introduced the notion of Inductive Databases
to manage KDD applications just as DBMSs successfully manage business applications …
to manage KDD applications just as DBMSs successfully manage business applications …
Systematic approach for optimizing complex mining tasks on multiple databases
Many real world applications involve not just a single dataset, but a view of multiple
datasets. These datasets may be collected from different sources and/or at different time …
datasets. These datasets may be collected from different sources and/or at different time …
Inductive databases in the relational model: The data as the bridge
S Kramer, V Aufschild, A Hapfelmeier… - Knowledge Discovery in …, 2006 - Springer
We present a new and comprehensive approach to inductive databases in the relational
model. The main contribution is a new inductive query language extending SQL, with the …
model. The main contribution is a new inductive query language extending SQL, with the …
Iql: A proposal for an inductive query language
S Nijssen, L De Raedt - … Workshop on Knowledge Discovery in Inductive …, 2006 - Springer
The overall goal of this paper is to devise a flexible and declarative query language for
specifying or describing particular knowledge discovery scenarios. We introduce one such …
specifying or describing particular knowledge discovery scenarios. We introduce one such …
Opportunity map: Identifying causes of failure-a deployed data mining system
In this paper, we report a deployed data mining application system for Motorola. Originally,
its intended use was for identifying causes of cellular phone failures, but it has been found to …
its intended use was for identifying causes of cellular phone failures, but it has been found to …
Pattern Management: Practices and Challenges
B Catania, A Maddalena - … and managing complex data for decision …, 2006 - igi-global.com
Abstract Knowledge intensive applications rely on the usage of knowledge artifacts, called
patterns, to represent in a compact and semantically rich way huge quantities of …
patterns, to represent in a compact and semantically rich way huge quantities of …