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: Santos:Jos=eacute=_Crist=oacute=bal_Riquelme
Contributed to:
20062005
200420042003200320022001Wrote 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.
- ICEIS-v1-2001-RomanSP
- Improvements in the Decision Making in Software Projects (IR, JCRS, JAP), pp. 431–436.