Essay on Bus Intelligence

1. A fast-food restaurant asks customers to evaluate the drive-thru service as good, average, or poor. What level of data measurement is this classification?

Dataset is a collection of information or data. More often dataset refer to the corresponding to single table of database in which every row represents a given member of dataset and every column corresponds to a specific variable. List values of the datasets for each variable is a member of data present in the datasets and each of its value is called as datum. Datasets may contain data for one or more than one members that is interrelated to the number of rows in the table. Datasets can contain more than one table that is related to one database in the database system.

Data is defined as useful raw material which is intended to be useful for both the originator and for the intended receiver. Data consists largely of facts and figures ideal for communicating the intended meaning. This data can be interpreted and can be categorised as follows;

To begin with, Dell software an information technology enterprises describes Data Mining as “an analytic process designed to explore data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the

Learning Outcome 6.7: Define data mining, and explain the three common forms for mining structured and unstructured data.

known as data classification. Data classification; how the map is divided according to data in

Data mining is essentially the ability to discover new information by exploring through various databases of existing information. According to Laura and Jack Cook, data mining "facilitates the discovery of previously unknown relationships among the data. …These operations present results that users already intuitively knew existed in the database."[2] As an example, let us take a school system consisting of three databases: one which stores the student profiles consisting of name and identification number, another to store student grades based on identification number, and the last one stores all the transactions at the bookstore through the student identification card. This is a simple example, but it should illustrate our point. Alone, the separate databases might not tell us much. With data mining techniques, the process might be able to tell us that in a particular school year, students of a certain ethnic background obtained above a 3.0 GPA, or that the bookstore sold mostly engineering books to students last year, or even that students who obtained above a 3.0 GPA were ones who bought engineering books. More specifically, the technology might be smart enough to associate that John Doe from Ireland had a 3.32 GPA in his engineering classes, even though he did not buy any engineering books from the bookstore. This type of technology is very powerful source of

4) The purpose and processes of text mining are different from those of data mining because with text mining the input to the process are data

Data analysis is a procedure of inspecting, cleaning, transforming, and modelling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. There are multiple facts and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains in data analysis. For data analysis we have to mine the data first for our purpose such that the data we can handle easily. Basically for data analysis our first thing to do our planning, how we are going to collect the data, our going data going to make sense or not, actually data will be meaningful for our object, after

Data Mining. It is the process of discovering interesting knowledge that are gathered and significant structures from large amounts of data stored in data warehouse or other information storage.

Data Mining is an analytical process that primarily involves searching through vast amounts of data to spot useful, but initially undiscovered, patterns. The data mining process typically involves three major steps—exploration, model building and validation and finally, deployment.

“Data is plural of datum, which is the dates, numbers, ages, symbols, letters, and words that represent basic facts and observations about people, processes, measurements, and conditions.” To be useful, data must be accurate.

What is data mining? Data mining is the deriving new information from massive amounts of data in databases (Sauter, 2014, p. 148). Chowdhurry argues that data mining is part of KDD. KDD is knowledge discovery in databases, it is a process that includes data mining. In addition to data mining, KDD includes data preparation, modeling and evaluation of KDD. KDD is at the heart of this research field. This research field is multidisciplinary and includes data visualization, machine learning, database technology, expert systems and statistics. Overall, the use of a case based reasoning and data mining tools within an information system would create a CBR system to solve new problems with adapted solutions and could be used in many industries such as education and healthcare (Chowdhurry,

The definition of data mining is seemingly a harmless one: it is essentially the gathering of data from different perspectives and gathering it into functional purposes. Similar to coal or oil

Which of the following involves entering data in computer files, inspecting the data for errors, and running tabulations and various statistical tests? B. data analysis.