Examples of using Data mining techniques in English and their translations into Indonesian
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Records and applying data mining techniques.
Data mining techniques will be most valuable.
This paper discusses several data mining techniques that can be used for customer segmentation.
Data mining techniques and tools let you predict what is going to happen in the future, and act to take advantage of future trends.
Knowledge and understanding of data mining techniques and their applicability in different domains.
To overcome these problems, data analysis of long-termwaste land disposal estimation using data mining techniques is used.
However, data mining techniques are not the same as traditional statistical….
The large volume of crime datasets and the complexity of relationships between them havemade criminology a suitable field for applying data mining techniques.
Ability to apply data mining techniques for the analysis of diverse data(sound, ECG, EEG).
Further, let's discuss some applications of DM and KM in business domains,who utilize data mining techniques to find interesting data patterns in form of knowledge.
You can implement data mining techniques so that the company benefits from the use of knowledge.
Further, let's discuss some applications of DM and KM in business domains,who utilize data mining techniques to find interesting data patterns in form of knowledge.
Also, data mining techniques uncover hidden customer/product information for businesses which can provide valuable knowledge and establish BI.
The high volume of crime datasets and also the complexity of relationships between these kinds of data havemade criminology an appropriate field for applying data mining techniques.
Also, data mining techniques uncover hidden customer/product information for businesses which can provide valuable knowledge and establish BI.
The Master's in Business Analytics is a multidisciplinary program aimed at improving business performance andidentifying new opportunities for business by applying data mining techniques.
Organizations can use data mining techniques to analyze the previous purchase of a particular customer and predict what a customer could buy in the future.
The method of fraud detection is based on, for example, simple comparisons, association, clustering, prediction and outlier detections using intelligent agents,data fusion techniques and various data mining techniques.
In particular the course aims to present the most basic data mining techniques that are utilized for the classification and the displacement of a company's target customers.
Data mining techniques can yield the benefits of automation on existing software and hardware platforms, and can be implemented on new systems as existing platforms are upgraded and new products developed.
Organizations with a strong consumer focus deal with data mining techniques providing clear pictures of products sold, price, competition and customer demographics.
The method of fraud detection is based on, for example, simple comparisons, association, clustering, perdition and outlier detections using intelligent agents,data fusion techniques and various data mining techniques.
Organizations can use data mining techniques to analyze a particular customer's previous purchase and predict what a customer might be likely to purchase in the future.
The fraud detection method is based, for example, on simple comparisons, correlations, grouping, predictions and detection of off-site measurements using intelligent agent software,data merge techniques and various data mining techniques.
Based on the background, then by applying data mining techniques are expected to help students to determine the correct majors in accordance with the criteria set.
In this stage the results of data mining techniques in the form of distinctive patterns and prediction models are evaluated to assess whether the existing hypotheses have indeed been reached.
This program will equip you with a thorough knowledge of statistical andmachine learning methods, data mining techniques that enable business analysts to understand how a business is performing and to predict its development and perspectives.
So I knew that data mining techniques could give us an estimate of the number of medals each nation might win; but I wondered how close we could get to the actual outcomes.
The process of identifying the related products bought together inone transaction is done by using data mining technique.