Contributions to metric methods in data mining. Data mining is an attempt to obtain information from a mass of data that is not easily discernable. Since many data mining techniques are designed for discrete data while frequently the data is actually continuous, there is a great need ... RA ...
METHODS USED IN DATA MININGSTANCU, Ana-Maria RamonaMOCANU, MihaelaKnowledge Horizons / Orizonturi ale Cunoasterii
Classification is one of the supervised learning methods in data mining. The main goal of classification is to connect the input variables with the target variables and make predictions based on this relationship. The classification techniques used in this study ranged from decision tree to support ...
Clustering is a fundamental concept in data mining, which aims to identify groups or clusters of similar objects within a given dataset. It is adata miningalgorithm used to explore and analyze large amounts of data by organizing them into meaningful groups, allowing for a better understanding of...
The data mining approach automatically or semi-automatically considers a larger number of joint, interactive, and independent predictors to address causal heterogeneity and improve prediction. Instead of challenging the conventional model-building approach, it plays an important complementary role in ...
Chapter 1 explains the need for data mining and its goals, tasks, and processes. Chapter 2 deals with data preparation, including the handling of attribute data and the elimination of outliers. Chapter 3 discusses data reduction, including the use of principal components analysis. The last ...
Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, log... Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant...
This growth has also brought the emergence of a new area of in-terest in data mining,developed especially to extract valuable informa-tion from very large data sets.Short of being a new discipline equipped with a new core of knowledge,data mining offers an interdisciplinary collection of ...
Data Mining: Concepts, Models, Methods, and Algorithms Mehmed Kantardzic Wiley-Interscience, Piscataway, NJ, 2003, 345 pages. ISBN 0-471-22852-4 Data available in various sources, such as the Web and databases, are growing at an explosive rate. It has become more and more difficult to qui...