Data preparation for data mining

Horizontal Aggregations in SQL to Prepar

Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis

✍ Ordonez, C.; Zhibo Chen 📂 Article 📅 2012 🏛 IEEE 🌐 English ⚖ 956 KB

Using Pig as a data preparation language

Using Pig as a data preparation language for large-scale mining software repositories studies: An experience report

✍ Shang, Weiyi; Adams, Bram; Hassan, Ahmed E. 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 708 KB

[IEEE 2013 Third International Conferenc

[IEEE 2013 Third International Conference on Advanced Computing & Communication Technologies (ACCT 2013) - Rohtak (2013.4.6-2013.4.7)] 2013 Third International Conference on Advanced Computing and Communication Technologies (ACCT) - Data Preparation by CFS: An Essential Approach for Decision Making Using C 4.5 for Medical Data Mining

✍ Ashwinkumar, U. M.; Anandakumar, K. R. 📂 Article 📅 2013 🏛 IEEE ⚖ 529 KB

[IEEE 2012 IEEE/ACIS 11th International

[IEEE 2012 IEEE/ACIS 11th International Conference on Computer and Information Science (ICIS) - Shanghai (2012.05.30-2012.06.1)] 2012 IEEE/ACIS 11th International Conference on Computer and Information Science - On the Use of Data Mining Tools for Data Preparation in Classification Problems

✍ Goncalves, P. M.; Barros, R. S. M.; Vieira, D. C. L. 📂 Article 📅 2012 🏛 IEEE ⚖ 522 KB

[IEEE 2012 IEEE/ACIS 11th International

[IEEE 2012 IEEE/ACIS 11th International Conference on Computer and Information Science (ICIS) - Shanghai (2012.05.30-2012.06.1)] 2012 IEEE/ACIS 11th International Conference on Computer and Information Science - On the Use of Data Mining Tools for Data Preparation in Classification Problems

✍ Goncalves, P. M.; Barros, R. S. M.; Vieira, D. C. L. 📂 Article 📅 2012 🏛 IEEE ⚖ 522 KB

The data preparation phase is a critical step in the KDD (Knowledge Discovery in Databases) process. This phase is crucial for a good data mining result because if data is not correctly prepared, all the next phases of the process are compromised. DMPML is a framework that stores preprocessed data f

Data Mining for Business Applications ||

Data Mining for Business Applications || Data Mining for Algorithmic Asset Management

✍ Cao, Longbing; Yu, Philip S.; Zhang, Chengqi; Zhang, Huaifeng 📂 Article 📅 2009 🏛 Springer US 🌐 English ⚖ 160 KB

Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge d