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» Knowledge Engineering: Principles and Methods
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ICDM
2008
IEEE
138views Data Mining» more  ICDM 2008»
14 years 2 months ago
Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective
INGENS is a prototype of GIS which integrates a geographic knowledge discovery engine to mine several kinds of spatial KDD objects from the topographic maps stored in a spatial da...
Annalisa Appice, Anna Ciampi, Antonietta Lanza, Do...
EKAW
2004
Springer
14 years 1 months ago
Knowledge Formulation for AI Planning
Abstract. In this paper we present an overview of the principle components of GIPO, an environment to support knowledge acquisition for AI Planning. GIPO assists in the knowledge f...
T. L. McCluskey, Ron M. Simpson
ASWEC
2000
IEEE
14 years 7 days ago
Formal Requirements Engineering: Learning from the Students
Formal methods are becoming increasingly important in many areas of software development and should be incorporated in the teaching of software engineering. Requirements capture i...
J. Paul Gibson
PROFES
2004
Springer
14 years 1 months ago
Combining Capability Assessment and Value Engineering: A BOOTSTRAP Example
Process improvement is a challenging task for software engineering. As Kuvaja [7]. has stated it:” It is difficult to find a unique way to identify a common improvement path suit...
Pasi Ojala
ICASSP
2010
IEEE
13 years 2 months ago
Unsupervised knowledge acquisition for Extracting Named Entities from speech
This paper presents a Named Entity Recognition (NER) method dedicated to process speech transcriptions. The main principle behind this method is to collect in an unsupervised way ...
Frédéric Béchet, Eric Charton