Data Mining


Data Classification Parameters

Data Classification Parameters

Parameters for |Data Classification Evaluation The parameters for the evaluation of sentiment analysis include various terms. The terms are True positives, true negatives, false negatives and false positives.These are the terms that are used to compare the class labels assigned to documents with the classes the items actually belong to by a classifier.True positive terms are truly classified as positive terms.False positive are not labeled...

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Data Loading in arff and csv format

How to prepare dataset in arff and csv format

Machine learning algorithms are primarily designed to work with arrays of numbers. This is called tabular or structured data because it is how data looks in a spreadsheet, comprised of rows and columns. Weka has a specific computer science centric vocabulary when describing data: Instance: A row of data is called an instance, as in an instance or observation from the problem domain. Attribute: A...

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Text Mining

Text Mining

What is Text Mining? Use of computational techniques to extract high-quality information from text Extract and discover knowledge hidden in text automatically KDD definition: “discovery by computer of new previously unknown information, by automatically extracting information from a usually large amount of different unstructured textual resources” Text Mining Categories Document Categorization (Supervised Learning) Document Clustering/Organization (Unsupervised Learning) Summarization (keywords, indices, etc) Visualization (word cloud, maps)...

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Data Mining Tools

Data Mining Tools

Data mining has a wide number of applications ranging from marketing and advertising of goods, services or products, artificial intelligence research, biological sciences, crime investigations to high-level government intelligence. Due to its widespread use and complexity involved in building data mining applications, a large number of Data mining tools have been developed over decades. Every tool has its own advantages and disadvantages. Within data mining,...

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Data Mining KDD Process

Data Mining

In the field of Information technology, we have a huge amount of data available that need to be turned into useful information. Major sources of abundant data Business: Web, e-commerce, transactions, stocks,… Science: Remote sensing, bioinformatics, scientific simulation, … Society and everyone: news, digital cameras, YouTube We are data rich, but information poor Data mining Data Mining is defined as extracting the information from the...

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