Role of soft computing approaches in healthcare domain: a mini review
In the present era, soft computing approaches play a vital role in solving the different kinds of
problems and provide promising solutions. Due to popularity of soft computing approaches …
problems and provide promising solutions. Due to popularity of soft computing approaches …
A survey of data mining and knowledge discovery process models and methodologies
G Mariscal, O Marban, C Fernandez - The Knowledge Engineering …, 2010 - cambridge.org
Up to now, many data mining and knowledge discovery methodologies and process models
have been developed, with varying degrees of success. In this paper, we describe the most …
have been developed, with varying degrees of success. In this paper, we describe the most …
Uniqueness of medical data mining
KJ Cios, GW Moore - Artificial intelligence in medicine, 2002 - Elsevier
This article addresses the special features of data mining with medical data. Researchers in
other fields may not be aware of the particular constraints and difficulties of the privacy …
other fields may not be aware of the particular constraints and difficulties of the privacy …
A survey of knowledge discovery and data mining process models
Knowledge Discovery and Data Mining is a very dynamic research and development area
that is reaching maturity. As such, it requires stable and well-defined foundations, which are …
that is reaching maturity. As such, it requires stable and well-defined foundations, which are …
Knowledge discovery approach to automated cardiac SPECT diagnosis
The paper describes a computerized process of myocardial perfusion diagnosis from
cardiac single proton emission computed tomography (SPECT) images using data mining …
cardiac single proton emission computed tomography (SPECT) images using data mining …
Trends in data mining and knowledge discovery
Data mining and knowledge discovery (DMKD) is a fast-growing field of research. Its
popularity is caused by an ever increasing demand for tools that help in revealing and …
popularity is caused by an ever increasing demand for tools that help in revealing and …
How to conduct rigorous supervised machine learning in information systems research: the supervised machine learning report card
In the last decade, applying supervised machine learning (SML) has become increasingly
popular in the information systems (IS) field. However, SML results rely on many different …
popular in the information systems (IS) field. However, SML results rely on many different …
Mining knowledge for HEp-2 cell image classification
P Perner, H Perner, B Müller - Artificial intelligence in medicine, 2002 - Elsevier
HEp-2 cells are used for the identification of antinuclear autoantibodies (ANAs). They allow
for recognition of over 30 different nuclear and cytoplasmic patterns, which are given by …
for recognition of over 30 different nuclear and cytoplasmic patterns, which are given by …
Hybrid inductive machine learning: An overview of CLIP algorithms
Hybrid Inductive Machine Learning: An Overview of CLIP Algorithms Page 1 Hybrid Inductive
Machine Learning: An Overview of CLIP Algorithms Krzysztof J. Cios and Lukasz A. Kurgan …
Machine Learning: An Overview of CLIP Algorithms Krzysztof J. Cios and Lukasz A. Kurgan …
Evaluation of an integrated Knowledge Discovery and Data Mining process model
S Sharma, KM Osei-Bryson, GM Kasper - Expert Systems with Applications, 2012 - Elsevier
Data Mining projects are implemented by following the knowledge discovery process. This
process is highly complex and iterative in nature and comprises of several phases, starting …
process is highly complex and iterative in nature and comprises of several phases, starting …