Data mining and Data warehousing | BIM | TU Solution | Year 2022

Group A 1. Data mining and Data warehousing Brief Answer Questions. 1. Mention any two data mining techniques. Classification: This is a technique used to categorize data into different classes or groups based on their attributes or characteristics. It involves building a model that can predict the class of new data instances based on their […]

Data Mining | BIM 8th Semester | TU Solution -2018

Brief Answer Question: i. What are two types of data used in data mining? Types of data used in data mining are: Records Graph and network. Ordered Multimedia ii. Write formula for confidence used in association rule mining. Confidence is the conditional probability that a transaction will contains Y given that it contains X or […]

Data Mining and Data warehousing | BIM 8th Semester TU Solution | 2017

Brief Answer Questions: What is information? Information is the processed form of data, which has meaningful values for the receiver. What is data mining? Data mining is defined as a process used to extract usable data from a larger set of any raw data.  Is privacy of data an issue in data mining? Give reason. […]

Unit 5: Cluster Analysis

Cluster analysis A cluster is a collection of data objects that are similar to one another within the same cluster and are dissimilar to the objects in other clusters. The process of grouping a set of physical or abstract objects into classes of similar objects is called clustering. Clustering techniques apply when there is no […]

Unit 4: Association Analysis

Introduction Many business enterprises accumulate large quantities of data from their day-to-day operations. For example, huge amounts of customer purchase data are collected daily at the checkout counters of grocery stores. Table 1 illustrates an example of such data, commonly known as market basket transactions. Each row in this table corresponds to a transaction, which […]

Unit 3: Classification

3.1 Introduction Classification is the process where a model or classifier is constructed to predict categorical labels of unknown data. Classification problems aim to identify the characteristics that indicate the group to which each case belongs. This pattern can be used both to understand the existing data and to predict how new instances will behave. […]