METHODS USED IN DATA MININGSTANCU, Ana-Maria RamonaMOCANU, MihaelaKnowledge Horizons / Orizonturi ale Cunoasterii
It’s developed from computational linguistics and employs methods from distinct disciplines, like artificial intelligence, computer science, data science, and linguistics that help computers comprehend human language in written as well as verbal forms. The sub-tasks of NLP enable computers to read by ...
Subtitled "Concepts, Models, Methods and Algorithms," the book retains a focus on methodology that should appeal to statisticians. The book comprises 12 chapters that essentially separate into 2 parts. The first four chapters cover the concepts and models for data analysis using data-mining ...
The data mining process involves using statistical methods and machine learning algorithms to identify patterns in data. Thanks to advancements in computer processing power and speed, analyzing data is largely automated. Although there are different ways to describe the data mining process, a widely us...
Explore various classification methods in data mining, including decision trees, neural networks, and support vector machines. Learn how these techniques can enhance your data analysis.
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 ...
To enable renaming, you must override the methods when you create the plug-in algorithm. Node Parents, Node Children, and Node Cardinality The relationship between parent and child nodes in a tree structure is determined by the value of the PARENT_UNIQUE_NAME column. This value is ...
Decision trees, Naive Bayes classifiers, k-nearest neighbors (KNN) and logistic regression are examples of classification methods. Clustering. In this case, data elements that share particular characteristics are grouped together into clusters as part of data mining applications. Examples include k-...
To enable renaming, you must override the methods when you create the plug-in algorithm. Node Parents, Node Children, and Node Cardinality The relationship between parent and child nodes in a tree structure is determined by the value of the PARENT_UNIQUE_NAME column. This value is stored in ...
For more information about scoring methods, see Feature Selection (Data Mining). ARIMA: The Bayesian Information Criterion (BIC) score of the ARIMA model. The same score is set on all the ARIMA nodes related to the equation. MSOLAP_NODE_SHORT_CAPTION ART...