Data Mining Research Papers - mzclplo.tk

 

research papers on data mining

Nov 11,  · I have a research paper topic this semester and am confused in finding the right topic. I have planned to do in data mining but want to know what area I can work upon. Free research papers, free research paper samples and free example research projects on Data Mining topics are plagiarized. mzclplo.tk is professional research paper writing service which is committed to write top-quality custom research papers, term papers, essays, thesis papers . Jun 24,  · Download research papers related to Data Mining. Get ideas to select seminar topics for CSE and computer science engineering projects. Data Mining is a powerful technology with great potential in the information industry and in society as a whole in recent mzclplo.tk: Topics For Seminar.


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To browse Academia. Skip to main content. You're using an out-of-date version of Internet Explorer. Log In Sign Up. Papers People. Diabetes is a inveterate defect and disturbance resulted from metabolic conk out in carbohydrate metabolism thus it has occupied a globally serious health problem. In general, the detection of diabetes in early stages can greatly has In general, the detection of diabetes in early stages can greatly has significant impact on the diabetic patients treatment in which lead to drive out its relevant side effects.

Machine learning is an emerging technology that providing high importance prognosis and a deeper understanding for different clustering of diseases such as diabetes. And because there is a lack of effective analysis tools to discover hidden relationships and trends in data, research papers on data mining, so Health information technology has emerged as a new technology in health care sector in a short period by utilizing Business Intelligence 'BI' which is a data-driven Decision Support System.

In this study, we proposed a high precision diagnostic analysis by using k-means clustering technique. In the first stage, noisy, uncertain and inconsistent data was detected and removed from data set through the preprocessing to prepare date to implement a clustering model, research papers on data mining.

Then, we apply k-means technique on community health diabetes related indicators data set to cluster diabetic patients from healthy one with high accuracy and reliability results.

Save to Library. A method for human activity recognition research papers on data mining mobile phones is introduced. Using the accelerometer and gyroscope typically found in modern smartphones, a system that uses the proposed method is able to recognize low level activities, research papers on data mining, Using the accelerometer and gyroscope typically found in modern smartphones, a system that uses the proposed method is able to recognize low level activities, including athletic exercises, with high accuracy.

A Hebbian learning preprocessing stage is used to render accelerometer and gyroscope signals independent to the orientation of the smartphone inside the user's pocket. After preprocessing, a selected set of features are obtained and used for classification research papers on data mining a k-nearest neighbor or a multilayer perceptron. The trained algorithm achieves an accuracy of Comparison of performance with respect to other popular methods is provided.

Integrity and data management in the Netherlands, a historical perspective. The perfect population register in the Netherlands and its consequences for th eJewish population during the war. View Comments. International Journal of Computer Science, Engineering and Applications IJCSEA is an open access peer-reviewed journal that publishes articles which contribute new results in all areas of the computer science, Engineering and International Journal of Computer Science, Engineering and Applications IJCSEA is an open access peer-reviewed journal that publishes articles which contribute new results in all areas of the computer science, Engineering and Applications.

The journal is devoted to the publication of high quality papers on theoretical and practical aspects of computer science, Engineering and Applications. All submissions must describe original research, not published or currently under review for another conference or journal. Computer-aided technologies CAx mean the use of computer technology to aid in the design,analysis and manufacture various products. The journal focuses on all technical and practical aspects of Computer Aided technologies.

Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in all Computer Aided technologies. International Journal of Artificial Intelligence and Soft Computing IJAISC is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications International Journal of Artificial Intelligence and Soft Computing IJAISC is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing.

The Journal looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Soft Computing, Artificial Intelligence and Applications. Business Intelligence and Analytics. Data is raw facts and figures and information is meaningful data that would be helpful for a person or company.

Business intelligence extracts information from raw data through tools like data mining, perspective analysis, online Business intelligence extracts information from raw data through tools like data mining, perspective analysis, online analytical processing etc. Business Intelligence BI can be used to support a wide range of business decisions research papers on data mining from operational to strategic.

The textbook will provide comprehensive information to readers about business intelligence and analytics. List of Deep Learning Models. Deep learning DL algorithms have recently emerged from machine learning and soft computing techniques. Since then, several deep research papers on data mining DL algorithms have been recently introduced to scientific communities and are applied in various Since then, several deep learning DL algorithms have been recently introduced to scientific communities and are applied in various application domains.

Today the usage of DL has become essential due to their intelligence, efficient learning, accuracy and robustness in model building. However, in the scientific literature, a comprehensive list of DL algorithms has not been introduced yet. This paper provides a list of the most popular DL algorithms, along with their applications domains. Breast Cancer is the most common type of cancer prevalent among female cancer patients, while it also is the second most dreaded disease causing cancer death among women.

A variety of data mining techniques, including Artificial Neural The dataset used in our experiment consists of 23 attributes containing samples obtained from the Mizoram Cancer Institute of Aizawl, Mizoram, India, research papers on data mining.

We are research papers on data mining data mining classifiers to predict the recurrence of breast cancer over a period of three years evaluated based on the comparison of their performance. Feature and attribute selections have been carried out to enhance the prediction accuracy of the computations. A Study Using Stack Overflow. Stack Overflow commits occur based on various types of programming languages.

But among all the But among all the languages which are more reliable and helpful for programmers is a burning question. We researched over Stack Overflow commits and reached in a conclusion. Our main target was to analyze over Stack Overflow commits and to give a result which can raise the confidence level of a programmer. In this research, we will show which language and platform are better for developers and programmers, research papers on data mining. We used Stack Overflow related commits, analyzed them and came to an end that in "JavaScript" language programmers involve most and in "Java", response time is less than other languages.

We also found that in "Python", programmers have a large probability to get an answer. We also analyzed different platforms in Stack Overflow and found that "Web Design" is the most helpful platform among all the platforms. From our research developers and programmers can now understand which platform and language they should choose. International Journal on Soft Computing, Artificial Intelligence and Applications IJSCAI is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and International Journal on Soft Computing, Artificial Intelligence and Applications IJSCAI is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing.

Sampling Methods and its Comparison -Data Preprocessing. Data mining is a key subject on discovering various dimensions of unpolished data that is crucial for data extraction which will be used for data analysis.

One major area of data mining is the data pre-processing. It is wrong to believe that core data is enough to be used directly from different sources. It creates a major impact when we try to take any important decision based on data analysis. So, data preprocessing plays a major role in business intelligence to validate raw data to prepare quality data.

Data preprocessing is a vast area, which consist of various strategies and methods being interrelated. A Very High speed integrated circuit Hardware Description A Matlab Program has been used to design and simulate the proposed controller.

The experimental results have proved the efficiency and robustness of the hardware implementation for the proposed controller. It provides a novel technique to be used to design NF controller for full vehicle nonlinear active suspension systems with hydraulic actuators.

Predictive modeling of stock indices closing from web search trends. The study aims to explore the strength of causal relationship between stock price search interest and real stock market outcomes on worldwide equity market indices. Such a phenomenon could also be mediated by investor behavior and extent Such a phenomenon could also be mediated by investor behavior research papers on data mining extent of news coverage.

The stock-specific internet search trends data and corresponding index close values from different countries stock exchanges are collected and analyzed.

Empirical findings show global stock price search interests correlates more with developing economies with fewer effects in south asian stock exchanges apart from strong influence in western countries. Finally this study calls for development in expert decision support systems with the synthesis of using big data sources on forecasting research papers on data mining outcomes.

This paper employed the famous ARIMA p,d,q model in forecasting Philippines' electric consumption for the years to using the univariate historical data of the country's power statistics in megawatt-hour from The ACF The simulation result showed that ARIMA 1,2,1 model appeared to be the statistically appropriate model to forecast the Philippines' electrical consumption allocated for residential, research papers on data mining, commercial, and industrial use.

A forecasted research papers on data mining of 28,Mwh, 29,Mwh, 31,Mwh, 32, Mwh, and 34, Mwh for the residential use in the years, and respectively are expected.

While the forecast research papers on data mining commercial use has the value of 23,Mwh, research papers on data mining, 24,Mwh, 26,Mwh, 27,Mwh, and 28,Mwh for the same sequence of years.

Further, research papers on data mining, years, and has forecasted electrical consumption value research papers on data mining 26,Mwh, 28,Mwh, 29,Mwh, 31,Mwh, and 32,Mwh respectively for industrial use. The Healthcare exchange generally clinical diagnosis is ended commonly by doctor's knowledge and practice. Computer Aided Decision Support System plays a major task in the medical field.

Data mining provides the methodology and technology Data mining provides the methodology and technology to research papers on data mining these rises of data into valuable data for decision making. By utilizing data mining techniques it requires less time for the prediction of the diseases with more accuracy. Among the expanding research on coronary diseases predicting system, it has happened significant to classifications the exploration results and gives readers with a layout of the current coronary diseases forecast strategies in every discussion.

Data mining tools can respond to exchange addresses that expectedly being used much time over riding to decide. In this paper we study different papers in which at least one algorithm of data mining used for the prediction of coronary diseases.

 

Selected Data Mining Papers

 

research papers on data mining

 

Data mining is a key subject on discovering various dimensions of unpolished data that is crucial for data extraction which will be used for data analysis. One major area of data mining is the data pre-processing. In this busy world it’s impossible to find the exact data when we plan for any data analysis using raw data for a large population. Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data. Abstract Data mining is one of the richest areas of research that is more popular in health organizations. Data mining plays an effective role for uncovering new trends in healthcare organization which is helpful for all the parties associated with this field. Heart disease is the.