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Questions related to Data Mining
Can somebody recommend me a data mining in Management Information Systems research topic
07 January 2020 4,856 5 View
How should an exploration project be evaluated as successful or unsuccessful? What are the main criteria? Exploration of an unknown deposit based on recent protocols or standards (such as JORC or...
29 December 2019 734 19 View
How to use bandpass filter (say 30-60 day) with daily timeseries data (for 365 days) especially in MATLAB? How many data points are going to be reduced after filtering? Any suggestion would be...
13 December 2019 7,268 5 View
Some doctors told me that data mining and classification techniques are old sience and not interested any more for new and further research. I am not satisfy of their openion. I want some...
11 December 2019 1,822 3 View
Need research direction on the application machine learning in Optical burst switching network to counter malicious attacks. I have interest in machine learning and data mining. I want to use...
11 November 2019 5,129 7 View
I am interested in doing research in data mining, specifically in the areas of health in developing countries. As you are aware, data is mainly stored in a manual format as in either...
10 October 2019 3,659 2 View
What are the best practices for data mining and machine learning for evaluating and analyzing questionnaires? The existing questionnaire includes 4 criteria and 30 sub-criteria. This questionnaire...
10 October 2019 7,185 3 View
Actually I can't understand the differences between data mining and information retriever and if there is any similarity between the two terms .
10 October 2019 7,357 4 View
iam a PHD student i used to work on data mining but now i have to change my domain to AI and machine learning techniques , my experience in this field is not good , i need help to get any new...
10 October 2019 1,613 7 View
04 October 2019 4,803 2 View
I am having many singleton Species (species representing only one DNA sequence). These singletons lack resolution potential as they are single, when applied machine learning classifiers singletons...
09 September 2019 3,084 3 View
An anomaly detection method can enjoy some properties. The idea presented here is to apply an algorithm for anomaly detection to a dataset, to remove the discovered anomalous points, and then to...
09 September 2019 6,519 3 View
what is Contextual and Non-Contextual Features selection and how we use the Contextual feature selection? how it is use in text mining.?
09 September 2019 4,282 5 View
I'm an master student of advanced information systems and my bachelor degree was in industrial engineering. My field of interest in industrial engineering was quality related topics like SQC, SPC,...
09 September 2019 3,222 4 View
I know my question is so generally it depends on data set but my question is performance of an data mining algorithm depends on structure of data set for example size of dataset،number of...
09 September 2019 7,198 3 View
Hi Folks, I need your help regarding the Artificial Intelligence Context of Information Retrieval tools and Big Data & Data Mining in the libraries? Dissertation/Thesis, research paper,...
09 September 2019 5,555 6 View
Note: LSA is a data mining technique used to extract semantics from text.
09 September 2019 1,743 4 View
Data Mining and Big data cover the subject of Artificial intelligence or these terms also discuss in the context of Data Literacy or Data Management in the context of Library and information...
09 September 2019 7,877 9 View
Endogenous reduced MAOA activity is a genetic trait that's found in various segments of the population. Would this reduced activity predict a better response to commonly prescribed antidepressant...
19 August 2019 8,230 1 View
Data mining is discover knowledge from Data .
08 August 2019 7,483 3 View
I have some 2D images (100*100 pixels) of gradient fields, and the target for each 2D-image is a scalar. Is there some method to do this regression in machine learning?
08 August 2019 3,214 4 View
Please help me!
08 August 2019 2,801 7 View
Hi. The k-means algorithm is non deterministic and can deliver very different results, depending on the initialization of the centroids. So, in real world scenarios, it is not easy to choose the...
08 August 2019 5,305 3 View
In my database, I have a significant number of labels (more than 10), the objective is to train an algorithm that, in response to the input values, gives me the response of the values of each...
08 August 2019 6,941 4 View