Data mining and knowledge discovery in databases

A Azevedo - Advanced methodologies and technologies in network …, 2019 - igi-global.com
The term knowledge discovery in databases or KDD, for short, was coined in 1989 to refer to
the broad process of finding knowledge in data, and to emphasize the “high-level” …

Prediction of the quality of public water supply using artificial neural networks

H Vicente, S Dias, A Fernandes, A Abelha… - Journal of Water …, 2012 - iwaponline.com
The Health Surveillance Program was established by the Regional Health Authority of
Alentejo to control the quality of public water supply. This authority divides the water quality …

Prediction of water quality parameters in a reservoir using artificial neural networks

H Vicente, C Couto, J Machado, A Abelha… - International Journal of …, 2012 - witpress.com
Water quality brings to the ground the discussion on water utilization once the consumption,
of degraded water, is not possible or safe. On the other hand, the assessment of the water …

Decision tree (DT): a valuable tool for water resources engineering

M Enayati, O Bozorg-Haddad… - … Intelligence for Water …, 2022 - Springer
One way to choose the best option among several possible options when making a decision
is to visualize the possible options. However, because each decision is made up of smaller …

Optimizing water treatment systems using artificial intelligence based tools

A Pinto, A Fernandes, H Vicente… - WIT Transactions on …, 2009 - books.google.com
Predictive modelling is a process used in predictive analytics to create a statistical model of
future behaviour. Predictive analytics is the area of data mining concerned with forecasting …

Water quality modeling using artificial intelligence-based tools

C Couto, H Vicente, J Machado, A Abelha… - International Journal of …, 2012 - witpress.com
Water, like any other biosphere natural resource, is scarce, and its judicious use includes its
quality safeguarding. Indeed, there is a wide concern to the fact that an inefficient water …

Data mining languages for business intelligence

AIRL Azevedo - 2011 - search.proquest.com
Desde que Lunh usou, pela primeira vez, em 1958, o termo Business Intelligence (BI),
grandes transformações se operaram na área dos sistemas e tecnologias de informação e …

A perspective on data mining integration with business intelligence

A Azevedo, MF Santos - … practices and emerging applications of data …, 2011 - igi-global.com
Business Intelligence (BI) is an emergent area of the Decision Support Systems (DSS)
discipline. Over the past years, the evolution in this area has been considerable. Similarly, in …

Surface water quality prediction using decision tree method

MT Sattari, M Abbasgoli Naebzad… - Irrigation and Water …, 2014 - waterjournal.ir
Consideration of water quality and implementation of appropriate actions for preventing of
water resources pollution is a very important issue in Iran because of surface water deficit …

Surface water quality prediction using data mining method (Case study: Rivers of northern side of Sahand Mountain)

MT Sattari, R Mirabbasi Najaf Abadi… - Iranian journal of …, 2017 - ije.ut.ac.ir
Monitoring and assessment of surface water quality are very expensive and time consuming
processes, thus finding cheap, simple and relatively exact methods which determine water …