Question

In: Computer Science

Discuss the two estimation methods of classification-type data mining models while considering ANN as a classifier.

Discuss the two estimation methods of classification-type data mining models while considering ANN as a classifier.

Solutions

Expert Solution

Data Mining is the process that is defined as the process of extracting information from large amount of data. To simply say , data mining is mining knowledge from data.There are two forms of data analysis that can be used for extracting models.
Classification
Prediction
Classification models are used to predict categorized parts of data while prediction models are for continuous valued functions.Classification is used to find out that,to which group of data sets the data instance is related within a given dataset. This is used for classifying data based on some constrains.By using classification techniques in data mining we can retrieve a large amount of data.Three main historical strands of research can be identified: statistical, machine learning and neural network.All the three concepts focuses on same objective that deviding as classes.

Statistical Procedure Based Approach
This approach working in two phases. The first one is “classical” phase that is concentrated on extension of Fisher’s early work based on linear discrimination. The second, “modern” phase concentrated on more flexible classes of models and provide a classification rule. The main advantage with statistical approach is it also applies probability of data not just classification.

Machine Learning Based Approach
Machine Learning is mainly focuses on computing procedures based on logical or binary operations.Unlike statistic approach here we are just concentrating on classification and should be focussed on decision-tree approaches. These classification is capable of retrieving the most complex problem given sufficient data. The main aim of machine Learning approach to generate classifying expressions simple enough to be understood.Here operation is assumed without human interference.


Related Solutions

Discuss the two estimation methods of classification-type data mining models while considering ANN as a classifier
Discuss the two estimation methods of classification-type data mining models while considering ANN as a classifier
A classification technique (or classifier) is a systematic approach to building classification models from an input...
A classification technique (or classifier) is a systematic approach to building classification models from an input data set. Examples include decision tree classifiers, rule-based classifiers, neural networks, support vector machines, and naïve Bayes classifiers. In your own words, describe each of these techniques and provide a scenario in which each technique would be most appropriate. Use your textbook and outside resources in the formulation of your response. Cite the sources you use to make your response.
Provide two classification scenarios where you can use classification tree models but not logistic regression models....
Provide two classification scenarios where you can use classification tree models but not logistic regression models. For each problem, identify a target variable and four possible predictor variables.
Discuss the estimation process of survey data in a research
Discuss the estimation process of survey data in a research
Discuss the determinants of the choice of LPM, probit abd logit models in an econimetric estimation....
Discuss the determinants of the choice of LPM, probit abd logit models in an econimetric estimation. PS: TWO PAGES NEEDED
Discuss the significance of Reynold number for the classification of the type of fluid flow.
Discuss the significance of Reynold number for the classification of the type of fluid flow.
course: IT Data Mining and Data Warehousing There are several typical cube computation methods such as...
course: IT Data Mining and Data Warehousing There are several typical cube computation methods such as Multi-Way, BUC, and Star-cubing. Briefly describe each one of these methods outlining the key points. note: need a unique answer and no handwriting please.
Discuss the challenges associated with the cost and benefit estimation methods in a cost-benefit analysis of...
Discuss the challenges associated with the cost and benefit estimation methods in a cost-benefit analysis of pollution abatement. 5 MARKS
Data Mining Techniques Please discuss whether or not the following problems are data mining tasks. Explain...
Data Mining Techniques Please discuss whether or not the following problems are data mining tasks. Explain why. (a). Retrieve students' records from a relational table with grade = "A". [5 points] (b). From the table of students' information, check if attributes last name and address have any correlations. [5 points] (c). Find all the documents from the text database containing keywords "data mining". [5 points] (d). Divide the text database into several groups, each group containing near-duplicate or similar documents....
Explain the different inventory classification models that can be used in inventory management. Discuss the primary...
Explain the different inventory classification models that can be used in inventory management. Discuss the primary functions of a distribution center.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT