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Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
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Travelled to:
1 × Cyprus
1 × Spain
2 × France
2 × Portugal
2 × USA
Collaborated with:
J.S.Aguilar-Ruiz J.M.Vázquez F.J.Ferrer-Troyano J.L.Á.Macías I.Ramos R.R.Sánchez D.Mateos R.Giráldez J.A.Páez V.Pachón F.Roche J.M.Tejera
Talks about:
data (7) rule (5) stream (4) numer (4) decis (4) mine (4) evolutionari (3) softwar (3) project (3) increment (2)

Person: José Cristóbal Riquelme Santos

DBLP DBLP: Santos:Jos=eacute=_Crist=oacute=bal_Riquelme

Contributed to:

SAC 20062006
SAC 20052005
ICEIS v2 20042004
SAC 20042004
ICEIS v2 20032003
SAC 20032003
SAC 20022002
ICEIS v1 20012001

Wrote 13 papers:

SAC-2006-Ferrer-TroyanoAS #classification #data type #incremental #learning
Data streams classification by incremental rule learning with parameterized generalization (FJFT, JSAR, JCRS), pp. 657–661.
SAC-2005-Ferrer-TroyanoAS #data type #incremental #learning
Incremental rule learning based on example nearness from numerical data streams (FJFT, JSAR, JCRS), pp. 568–572.
ICEIS-v2-2004-MataRR #case study #data mining #development #mining
Applying Data Mining to Software Development Projects: A Case Study (JMV, JLÁM, JCRS, IR), pp. 54–60.
ICEIS-v2-2004-PachonVRST #industrial #process
Practical Application of KDD Techniques to an Industrial Process (VP, JMV, FR, JCRS, JMT), pp. 309–314.
ICEIS-v2-2004-SanchezSA #database #reduction
Databases Reduction (RRS, JCRS, JSAR), pp. 98–103.
SAC-2004-Ferrer-TroyanoAS #data type
Discovering decision rules from numerical data streams (FJFT, JSAR, JCRS), pp. 649–653.
SAC-2004-MateosSA #segmentation
Evolutionary segmentation of yeast genome (DM, JCRS, JSAR), pp. 1026–1027.
ICEIS-v2-2003-MaciasVSR #data mining #development #mining
A Data Mining Method to Support Decision Making in Software Development Projects (JLÁM, JMV, JCRS, IR), pp. 11–18.
SAC-2003-Ferrer-TroyanoAS #data type #mining #prototype
Prototype-based Mining of Numeric Data Streams (FJFT, JSAR, JCRS), pp. 480–484.
SAC-2003-GiraldezAS #data type #performance
An Efficient Data Structure for Decision Rules Discovery (RG, JSAR, JCRS), pp. 475–479.
SAC-2002-MaciasVR #algorithm #mining #using
Mining interesting regions using an evolutionary algorithm (JLÁM, JMV, JCRS), pp. 498–502.
SAC-2002-MataMR #algorithm
An evolutionary algorithm to discover numeric association rules (JMV, JLÁM, JCRS), pp. 590–594.
Improvements in the Decision Making in Software Projects (IR, JCRS, JAP), pp. 431–436.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.