acoustic signal processing,data mining,neural netsThis paper presents the results of a study of approaches to the analysis of hydroacoustics data in the management of hydroacoustic systems. The basic classification is given (simple and complex hydroacoustic signals). The main stages and methods of ...
The statement “I want to use data mining to solve my churn problem” is much too vague. From a business point of view, the reality is that it is much more difficult and costly to try to win a defected customer back than to prevent a disaffected customer from leaving; furthermore, you...
In our data mining guide, you'll learn how data mining works, its phases, how to avoid common mistakes, as well as some of its benefits. Read it today.
Using Oracle Data Miner 4.0: This tutorial covers the use of Oracle Data Miner 4.0 to perform data mining on Oracle Database 12c. In this lesson, you examine and solve a data mining business problem by using the Oracle Data Miner graphical user interface (GUI). The Oracle Data Miner GUI ...
Data clustering and problem statement The basic objective of data mining techniques is to obtain features from huge volumes of data. Such techniques use data processing techniques to find interesting patterns in huge amounts of data. Clustering, classifications, detecting anomalies, detecting deviations,...
Fig. 1. A framework for the privacy preserved data mining. 3. Problem statement A privacy preserved data mining method is proposed in Fig. 1. The data from different sensors come to the proposed privacy preservation algorithm. After sanitization, the data is stored in the distributed storage. ...
The key idea ofHMGis to use apattern-mining approach, where patterns are extracted based on theMDL (Minimum Description Length) principle. More precisely, HMG tries to find the set of patterns (k-mers) in genome sequence that most succinctly describe them. Then, HMG uses these patterns to ...
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay between space and time. Several available surveys capture STDM advan
These data structures are mining structures and mining models and they are organized in catalogs (databases). The XMLA command for such requests is Execute, containing DDL Create or Alter statements with the definition of the object to be created or altered. The DMX CREATE statement may be used...
1. What are the key differences between Data Analysis and Data Mining? 2. What is Data Validation? 3. What is Data Analysis, in brief? 4. How to know if a data model is performing well or not? 5. Explain Data Cleaning in brief. 6. What are some of the problems that a working ...