SE-155 DBSA: a device-based software architecture for data mining

J Kätevä, P Laurinen, T Rautio, J Suutala… - Proceedings of the …, 2010 - dl.acm.org
In this paper a new architecture for a variety of data mining tasks is introduced. The Device-
Based Software Architecture (DBSA) is a highly portable and generic data mining software …

Executable architectural models for Big Data analytics development and deployment

CC Castellanos Rodríguez - 2021 - repositorio.uniandes.edu.co
Resumen en español Con la reciente proliferación de análisis de big data (BDA), las
empresas recopilan y transforman datos para realizar análisis predictivos a una escala que …

From machine learning to learning with machines: Remodeling the knowledge discovery process

L Tuovinen - 2014 - oulurepo.oulu.fi
Abstract Knowledge discovery (KD) technology is used to extract knowledge from large
quantities of digital data in an automated fashion. The established process model represents …

Component-based framework for mobile data mining with support for real-time sensors

T Rautio, P Laurinen, J Röning - International Conference on Agents …, 2009 - scitepress.org
The increasing use of various mobile devices has shown that there is a need for mobile data
mining applications. While many existing data mining frameworks can be modified to handle …

External tool integration with proxy filters in a data mining application framework

L Tuovinen, J Röning, P Laurinen - International Conference on …, 2009 - scitepress.org
An important phase in the development of a data mining application is algorithm selection:
for any given data mining task there is likely to be a range of different model types available …

Data type management in a data mining application framework

L Tuovinen, P Laurinen, J Röning - International Conference on …, 2009 - scitepress.org
Building application frameworks is one of the major approaches to code and design reuse in
object-oriented software engineering. Some frameworks target a particular application …