In data mining reprocessing means preparing data. It is the one of the important and compulsory task. Before applying the data mining technique like association, classification, or clustering noisy and outlier should be removed. We have proposed replicator neural network (runs) as on outlier detecting algorithm....
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Data Mining Essay Examples
1. Cognitive Computing In Medical Field With Applications
2. Development Of Data Mining Applications In Banking Sector
3. Detection of Outlier: Data Mining
4. Prediction Of Water Scarcity
7. Value Creation Using Big Data Mining In Banking
8. Application Of Data Mining Techniques In The Analysis Of Fire Incidents
9. Application Of Data Mining Techniques In Pharmacovigilance
10. Television Program Popularity Analysis Using Data Mining Techniques
11. A Study on Crime Prediction and Detection Techniques Using Data Mining
12. Sentiment Analysis Using Naïve Bayes Classification
13. Effective Spanish Encoding Function During Data Matching Process
14. Application Of Parallel/Distributed Data Mining Algorithms For Text Classification
15. My Desire To Become A Part Of The Hot Field Of Data Science
The omnipresence of technology, from digital communications to underwater wireless transmissions, is a testament to the fact that the voluminous amount of data gets generated every second. This data is a driving as well as a defining force behind an infinite number of crucial decisions...
This paper presents the importance of Cognitive Computing in real life and some important applications of Cognitive Computing in Medical Field. Keywords—cognitive computing, data mining, natural language processing, I To Cognitive computing Cognitive Computing is one of the most researched topic of 21st century. It...
To discuss the potential use of data mining and knowledge discovery in databases for detection of adverse drug events (ADE) in pharmacovigilance. A literature search was conducted to identify articles, which contained details of data mining, signal generation or knowledge discovery in relation to adverse...
In recent years, the number of fire accidents decreased slowly, but the losses due to fire accident is still enormous every year. Under these circumstances, with the combination of data mining, data analysis and accident analysis theory, Microsoft SQL Server business intelligence components was used...
Based on the review of over 100 journals the authors concluded that applying different data mining technique for managing risk, fraud detection and CRM in the banking sector has been successful though there has been exception on big data because of different variable features. The...
The banking sector deals with an overwhelming amount of data on a day to day basis. Banks have historical records and customer information data dating back to decades. Manually leveraging such enormous amounts of data for making decisions is not only time consuming but involves...
Artificial Intelligence is everywhere in our lives before we realize it. It there when you are watching a video on youtube, browsing products on Amazon, or writing some words on google searching box. “AI assistants will become trusted advisers to consumers, anticipating and satisfying their...
Despite of the education levels in the Portuguese population has success in improving in the last decades, according to statistics keep Portugal at the tail of the European continent that’s due to the very high student failures, especially the classes of lack of success are...
Data mining is a technology which is emerging as an innovative technology in recent years. It is also used in many application sectors. It is also useful in various purposes even in agriculture. This paper focuses on the variety of techniques used to predict the...
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