What is Data Analysis

1.

Evaluating data with analytical and logical perceptive to survey each element of the data. Learn more in: Default Probability Prediction of Credit Applicants Using a New Fuzzy KNN Method with Optimal Weights

2.

A process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Learn more in: Internet of Things and Big Data-Driven Data Analysis Services for Third Parties: Business Models, New Ventures, and Potential Horizons

3.

The process of systematically applying statistical and logical techniques to describe, summarize, and compare data; it is the process by which the data requirements of a functional area are identified, element by element. Each data element is defined from a business sense, its ownership is identified, and users and sources of that data are identified. These data elements are grouped into records, and a data structure is created which indicates the data dependencies. Learn more in: E-Learning Applications through Space Observations

4.

The process of inspecting, cleaning, transforming, and modeling data with the goal of extracting useful information. Learn more in: Input Analysis for Stochastic Simulations

5.

This is a class of statistical methods that make it possible to process a very large volume of data and identify the most interesting aspects of its structure. Some methods help to extract relations between different sets of data, and thus, draw statistical information that makes it possible to describe the most important information contained in the data in the most succinct manner possible. Other techniques make it possible to group data in order to identify its common denominators clearly, and thereby understand them better. Learn more in: Big Data, Who Are You?

6.

The analysis of time course data from a system in order to understand the nature of the signal generating mechanisms associated with a system. These are often unwanted noise or errors in the process and are used to modify or correct the mathematical model. Learn more in: Systems and Control Theory for Medical Systems Biology

7.

A systematic use of data to drive fact-based decision making for measurement, planning, learning, and management. Learn more in: Data Analysis and Integration in Healthcare

8.

Reviewing collected information to identify trends or patterns. Learn more in: Motives and Methods for Quantitative FLOSS Research

9.

Related to a website, data analysis involves the interpretation of logged data maintained generally for a website and specifically related to the needs of researchers. Learn more in: Designing Medical Research Web Sites

10.

It is an activity which works on collected data sets to search for patterns, trends, relationships or any kind of useful information. Learn more in: An Evolving System in the Text Classification Problem

11.

Data analysis is a process, where data is parsed and filtered through systematic procedures and methods to get useful information which helps in decision making and helping with possible conclusions. Learn more in: Web 2.0 Mash-Up System for Real Time Data Visualisation and Analysis Using OSS

12.

Logical Operations to Evaluate Data. Learn more in: Big Data Analysis in IoT

13.

The process of systematically applying statistical and/or logical techniques to describe and evaluate data. Learn more in: Exploratory Data Analysis on Breast Cancer Prognosis

14.

A process of inspecting, adapting, and modeling data with the goal of discovering useful information and decision making. Learn more in: Innovative Formalism for Biological Data Analysis

15.

This is a class of statistical methods that makes it possible to process a very large volume of data and identify the most interesting aspects of its structure. Some methods help to extract relations between different sets of data, and thus, draw statistical information that makes it possible describe the most important information contained in the data in the most succinct manner possible. Other techniques make it possible to group data in order to identify its common denominators clearly, and thereby understand them better. Learn more in: Investigating the Factors for Predictive Marketing Implementation in Algerian Organizations

16.

This is a class of statistical methods that make it possible to process a very large volume of data and identify the most interesting aspects of its structure. Some methods help to extract relations between different sets of data, and thus, draw statistical information that makes it possible to describe the most important information contained in the data in the most succinct manner possible. Other techniques make it possible to group data in order to identify its common denominators clearly, and thereby understand them better. Learn more in: Big Data Applications in Business

17.

This is a class of statistical methods that make it possible to process a very large volume of data and identify the most interesting aspects of its structure. Some methods help to extract relations between different sets of data, and thus, draw statistical information that makes it possible to describe the most important information contained in the data in the most succinct manner possible. Other techniques make it possible to group data in order to identify its common denominators clearly, and thereby understand them better. Learn more in: First of All, Understand Data Analytics Context and Changes

18.

This is a class, of statistical methods, that makes it possible to process a very large volume of data and identify the most interesting aspects of its structure. Some methods help to extract relations between different sets of data, and thus, draw statistical information that makes it possible to describe the most important information contained in the data in the most succinct manner possible. Other techniques make it possible to group data in order to identify its common denominators clearly, and thereby understand them better. Learn more in: Plan and Rules for Data Analysis Success: A Roadmap

19.

A process of dealing with data with the main objective to discover useful information, support decision-making processes, and draw conclusions. Learn more in: How to Encourage Reflective Practice With the Help of Collaborative Video Annotation: Social Video Learning in Teacher Education