Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
New technology in knowledge discovery and data mining (KDD) make it possible to extract valuable information from operational data. Private businesses already use the technology f...
Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flai...
: We introduce an end-to-end framework for data quality that integrates business strategy, data quality models, and supporting investigative and governance processes. We also descr...
Numerical applications frequently contain nested loop structures that process large arrays of data. The execution of these loop structures often produces memory preference pattern...
Yoji Yamada, John Gyllenhall, Grant Haab, Wen-mei ...
The main aim of this paper is to investigate how the production-rule-based computational paradigm can be implemented through visual data-flow techniques. We propose a simple yet e...