based on data mining technology
Data Mining word is surely known for you if you belong to a field of computer science and if your interest is database and information technology, then I am sure that you must have some basic knowledge about data mining if you don't know more about data mining. …
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Financial Risk Analysis and Early Warning Research Based on Data Mining Technology. Yan Hou and Ziyan Yuan. Published under licence by IOP Publishing Ltd Journal of Physics: Conference Series, Volume 1187, Data mining and analysis
In this paper, the data mining technology and the mining process was explained; and several common methods of data mining were described. Based on the characteristics of the target value, application of text classification and textual association in the target value mining were discussed, and the process model of data mining concerning target value was also expressed.
In this paper, a short-term wind power prediction model is proposed based on data mining technology and improved support vector machine method. In this model, data mining is employed to investigate the relationship between wind speed and wind power output and then modify the invalid original data.
Mar 14, 2016· The winners all contribute to real-time, predictive, and integrated insights, what big data customers want now. Here is my take on the 10 hottest big data technologies based …
One of the key findings was that information and communication technology (IT) is integral to achieving substantial quality improvement. More specifically, the report recommended the use of IT to improve access to information and support evidence-based decision making.
This paper aims to develop the cloud-based energy data mining information agent system OntoDMA, as based on the WIAS cloud environment and Big Data analysis technology, which is embedded in a cloud-based active multi-agent system to proactively provide appropriate, real-time, and fast domain information prediction.
Text mining, also referred to as text data mining, roughly equivalent to text analytics, is the process of deriving high-quality information from text.High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning.Text mining usually involves the process of structuring the input text (usually parsing, along with the ...
Apart from these, a data mining system can also be classified based on the kind of (a) databases mined, (b) knowledge mined, (c) techniques utilized, and (d) applications adapted. We can classify a data mining system according to the kind of databases mined. Database system can be classified ...
Modeling and data-mining approaches Model creation. The complete data-mining process involves multiple steps, from understanding the goals of a project and what data are available to implementing process changes based on the final analysis. The three key computational steps are the model-learning process, model evaluation, and use of the model.
Data Mining and Machine Learning Papers. ... G. Weiss and B. Davison, in Handbook of Technology Management, John Wiley and Sons, expected 2010. From Data Mining to Knowledge Discovery in ... for Imbalanced Datasets, N. Chawla, L. Hall, and A. Joshi, in Proceedings of the 1st International Workshop on Utility-based Data Mining, 24-33, 2005.
called data mining technology is based on the needs of individuals and enterprises, extracted and analyzed from large databases, so as to obtain valuable and usable information of data analysis technology, which can guide business behavior or provide reference value for scientific research based on the data information obtained.
Get ieee based as well as non ieee based projects on data mining for educational needs. Nevonprojects has a directory of latest and innovative data mining project ideas for students and researchers. We provide data mining projects with source code for studies and research.
Research paper on data mining technology - … The company is based in Cagayan de Oro, Philippines. VI. SWOT Analysis Having a more in-depth look on data mining technology, we could see a lot of qualities …
Data mining is widely used in diverse areas. There are a number of commercial data mining system available today and yet there are many challenges in this field. In this tutorial, we will discuss the applications and the trend of data mining. Data Mining has its great application in Retail Industry ...
Nov 18, 2015· 12 Data Mining Tools and Techniques What is Data Mining? Data mining is a popular technological innovation that converts piles of data into useful knowledge that can help the data owners/users make informed choices and take smart actions for their own benefit.
Fraudulent Behavior Forecast in Telecom Industry Wu, Kang & Yang Communications of the IIMA 1 2007 Volume 7 Issue 4 Fraudulent Behavior Forecast in Telecom Industry Based on Data Mining Technology∗ Sen Wu Naidong Kang Liu Yang School of Economics and Management University of Science and Technology Beijing ABSTRACT
Nov 01, 2011· The objective of this study is to conduct a systematic review of applications of data-mining techniques in the field of diabetes research. We searched the MEDLINE database through PubMed. We initially identified 31 articles by the search, and selected 17 articles representing various data-mining ...
Data mining technology into the teaching system, the biggest advantage is that the system can gather large amounts of data for analysis, digging out of the course content and teaching strategies presented useful information on the adjustment in order to build content-rich smart teaching platform . This paper mainly made use of data mining techniques to solve the data mining technology is ...
application of data mining in KM and not described how data mining could be employed or helped in KM. There are 10 articles related to these selection criteria. Based on 10 articles on data mining applications for knowledge management, we survey and
Financial fraudulence identification: Based on the data mining technology Abstract: In this paper,we firstly use orthogonal factor model to deal with relative variables and obtain independent factor characteristics,subsequently use the Naive Bayes method to build NBFA model (Naive Bayesian based on Factor Analysis). Based on this model we build ...
It is a known fact that data mining collects information about people using some market-based techniques and information technology. And these data mining process involves several numbers of factors. But while involving those factors, data mining system violates the privacy of its user and that is why it lacks in the matters of safety and ...
Data mining is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes. Using a broad range of techniques, you can use this information to increase revenues, cut costs, improve customer relationships, reduce risks and more. Over the last decade ...
The Data Mining Technology Based on CIMS and its Application on Automotive Remanufacturing Abstract: Nowadays, with the development of computer technology, data mining has been widely used in various fields. This paper describes a CIMSMINER that combines the data mining with CIMS (computer integrated manufacturing system) and instructs its ...
computing technology and B/S mode referred to big data technology and data mining methods. Based on petrophysical data mining application of K-means clustering analysis, it elaborated the practical significance of application asso-ciation with big data technology in well logging field, which also provided a scientific reference for logging ...
Data mining technology is a very common computer technology, which has been widely used in many fields because of its superior performance. The method of talent management data cleaning in wireless sensor networks is studied based on data mining technology. The research status of data mining technology is first introduced at home and abroad, and the specific application forms of wireless ...
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