Data Essay

section presents data process involved in data management and analysis, it discusses data entry, data cleaning and data analysis. The section starts with data entry where the data cleaning and analysis were presented thereafter. 3.14.1 Data entry Data entry refers to the process of recording data, regularly into a computer programmes (Rahm & Hai Do, 2010). During the evaluation, data were entered into computerised software packages to assist in analysis process. Quantitative data from questionnaires

Data-mining and the concept of 'Big Data ' are ideas that have grown in popularity over the last three decades as technology has grown and expanded so rapidly. Iqbal Pittawala explains that “Big Data refers to a technology phenomenon that has arisen since the mid-1980s. As computers [improve], growing storage and processing capacities [provide] new and powerful ways to gain insight into the world by sifting through the infinite quantities of data available” (Pittalwala, 1). With the increase of

‘Big Data’ is the new buzzword recently discussed highly in industry, academia and research as it was generated profusely due to the technology revolution caused by Internet of Things (IoT).Knowledge Management being a strategic process carried out in industry with great focus was seriously impacted by the Big Data and its analytics as they were interchangeability used in various context relating to Information and Knowledge Management. The reason is none other than the significance of Data in the

Your life? “A Look into Data Mining” Today with the ever growing use of computers in the world, information is constantly moving from one place to another. What is this information, who is it about, and who is using it will be discussed in the following paper. The collecting, interpreting, and determination of use of this information has come to be known as data mining. This term known as data mining has been around only for a short time but the actual collection of data has been happening for centuries

Abstract— Big data is a very important subject in modern times with the rapid advancement of new technologies for example smartphones, pc/laptops, game consoles, that all in some way gather information that is stored. Big companies are needing a place to not only store all the data that is coming in but to also analyze it for specific purposes and at the fastest speed manageable. There are many different providers out there who provide this service, this paper will talk about one way the company

flow data. Various movement of user is recorded and result is generated graphically. Compression techniques are used in order to use bandwidth efficiently. This paper presents a visualization tool for large-scale people flow dataset featuring compression and data mining techniques. (Gong, Wang, and Peng 2016) [3] The data mining process is enhanced by the use of bijective soft set tool. This tool helps in mining the soft sets. The recognition ability is lost by bijective data set if faulty data is

this study, the plasmapause location derived from 2013 March RBSP data is used, which is 89 observational data in total. For neural network approaches, 70% of the electron density data were used as the training data sets, the 15% were used as the validation data and the final 15% as the testing data sets. As for the rest of the method, 75% of electron density data were randomly selected to train the data and the rest of the data were used as test datasets. After the model were obtained, the performances

Data mining is the process of analysing data to discover meaningful patterns within the data resulting in extracting useful information that may have not been discovered yet. Data mining borrows techniques from a variety of fields such as statistics, machine learning and artificial intelligence. Because of its usefulness, data mining has been used in a range of industries such as, banking, telecommunications, retail, marketing, and insurance. Exclusive Ore, a group that specializes in data mining

BIG DATA It refers to the large set of data or in other words large volume of data (Data can be both structured and unstructured). Structured data: This type of data is written in a format that's easy to understand by the machine and easily searchable by applying some basic algorithms. Example:phone number, spreadsheet. Unstructured data: This type of data is like human language which will not fit nicely into relational database like SQL. Example: emails,text documents(PDF,word docs,etc).How big

Biometric data and crucial insensitive data should be decentralized under one organization i.e. UIDAI and KYC (Know your Customer) norms of UIDAI should be replaced by Tokens. Whether linkage of Adhaar to PAN Cards Justified Recently the finance minister Mr. Arun Jaitley argued in parliament about the instances of same person using multiple PAN cards for filing Income Tax-Returns. The linkage of Adhaar to PAN card is still a proposal yet Government has traced the defect regarding multiple usages