IADIS European Conference on Data Mining 2008:
Amsterdam,
The Netherlands
Ajith P. Abraham (Ed.):
IADIS European Conference on Data Mining 2008, Amsterdam, The Netherlands, July 24-26, 2008. Proceedings.
IADIS 2008, ISBN 978-972-8924-63-8 
Full Papers
- Juan M. Corchado, Aitor Mata, Juan Francisco de Paz, David Del Pozo:
A Case-Based Reasoning System to Forecast the Presence Of Oil Slicks.
3-10
- T. Werth, A. Dreweke, Marc Wörlein, Ingrid Fischer, Michael Philippsen:
Dagma: Mining Directed Acyclic Graphs.
11-18
- Murat Göksedef, Sule Gündüz Ögüdücü:
Integration of the Pagerank Algorithm into Web Recommendation System.
19-28
- Mahmoud K. Quweider:
Subspace Orthogonal Projection for Texture Segmentation with Wavelet Frames.
27-36
- Laiq Hasan, Yahya M. Khawaja, Abdul Bais:
A Systolic Array Architecture for the Smith-Waterman Algorithm with High Performance Cell Design.
35-44
- Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu:
Aggregation in Confidence-Based Concept Discovery for Multi-Relational Data Mining.
43-52
- Asem Omari, Mehdi Bin Lamine, Stefan Conrad:
On Using Clustering and Classification during the Design Phase to Build Well-Structured Retail Websites.
51-59
Short Papers
- Bernard P. Veldkamp, Theo de Vries:
Identification of Bankruptcy Fraud in Dutch Organizations.
63-66
- José Carlos Cortizo, José María Gómez Hidalgo, Yaiza Temprado, Diego Martín, Federico Rodríguez:
Mining Postal Addresses.
67-72
- Maria J. Martín-Bautista, María Amparo Vila Miranda, Víctor H. Escobar-Jeria:
Obtaining User Profiles Via Web Usage Mining.
73-76
- José Luis Castillo Sequera, José Raúl Fernández del Castillo, León González-Sotos:
Information Retrieval with Cluster Genetic.
77-81
- Dorin Carstoiu, Alexandra Cernian, Adriana Olteanu, Tudor Ionescu:
Design of an Automated System for Clustering Heterogeneous Data.
82-86
- Inhaúma Neves Ferraz, Ana Cristina Bicharra Garcia:
Ontology In Association Rules Pre-Processing And Post-Processing.
87-91
- Nikolay V. Filipenkov:
Data Mining In Non-Stationary Multidimensional Time Series Using A Rule Similarity Measure.
92-96
- Robert Logie, Jon G. Hall, Kevin G. Waugh:
Towards Mining for Influence in a Multi Agent Environment.
97-101
- Zhaojia Sun, Miseon Choi, Cheong Hee Park, Young-Kuk Kim:
Selection Of Orthogonal Features In Fisher Discriminant Analysis.
102-106
- Rasha Shakir Abdul-Wahhab:
Gapbnf_Rule: A Genetic Miner Rule.
107-112
- Filipe Mota Pinto, Alzira Ascensão Marques, Manuel Filipe Santos:
Customer Insights from Transactional Database: Database Marketing Case.
113-118
- Neelima Gupta, Seema Aggarwal:
Mib: Using Mutual Information for Biclustering High Dimensional Data.
119-123
- Neelima Gupta, Seema Aggarwal:
Sisa: Seeded Iterative Signature Algorithm for Biclustering Gene Expression Data.
124-128
- Adam Zagdanski, Rafal Kustra:
Exploration of High-Dimensional Time Series Using Regularized Reduced Rank Approach: Application in Time-Course Microarray.
129-133
- Ali Farahmand Nejad, Shahabedin Bayati, Sadegh Kharazmi:
Data Mining Applications in Intelligent Integrated Development Environments.
134-138
- Marjan Kaedi, Mohammad Ali Nematbakhsh, Nasser Ghasem-Aghaee:
Fuzzy Association Rule Reduction Using Clustering In Som Neural Network.
139-143
- Jesús Pardillo, José Jacobo Zubcoff, Jose-Norberto Mazón, Juan Trujillo:
Towards A Model-Driven Engineering Approach of Data Mining.
144-147
- Ashkan Sami, Ryoichi Nagatomi, Masahiro Terabe, Kazuo Hashimoto:
Design of Physical Activity Recommendation System.
148-152
Reflection Papers
Poster/Demonstration
- Igor Gromov:
A Scheme For Synthesis of Adjustment Algorithms for Locally Perturbed Finite Semimetrics.
167-169
- Wen Po Cheng, Ruey Fang Yu, Ying Ju Hsieh, Shu Yi Wu, Yu Wei Huang, Sin Ming Chen:
Prove the Relationship between Particle Size, Turbidity Fluctuations by Image Analysis.
170-172
- Krzysztof Dzieciolowski, Dennis Kira:
Data Mining In Marketing Acquisition CAMPAIGNS.
173-175
- Christiane Dominovic:
Arch: Data Integration Framework Based on Rdfa and Usability Aspects.
176-178
- Shaghayegh Sahebi, Farhad Oroumchian, Ramtin Khosravi:
Applying and Comparing Hidden Markov Model and Fuzzy Clustering Algorithms to Web Usage Data for Recommender Systems.
179-181
- Ana Azevedo, Manuel Filipe Santos:
KDD, SEMMA and CRISP-DM: a parallel overview.
182-185
Copyright © Tue Nov 24 20:32:09 2009
by Michael Ley (ley@uni-trier.de)
