Essays on Data Mining

Data plays a vital role in organizations development. Organizations receive information in various forms. Analyzing the data and reporting using different tools generate reports and concluding the decision based on the reports helps in improving the position of organizations market, quality, business etc. For this...

The significance of data collection. Data collection varies from data mining in that it is a procedure by which data is assembled and estimated. … It is through data collection that a business or service has the quality data they have to settle on educated...

In a highly competitive market, it is very risky for a company to make decision on prediction. They must use their available data. With data analytics we can capture value and benefit from the data. To do this, Company must hire skilled analysts to extract...

Bitcoin has become more and more popular and victorious in the world of cryptocurrencies. Since it was created in 2009, the value of bitcoin has been threefold in 2018. This article will guide you on how you can make money online with bitcoin. Bitcoin Mining...

Our every move can be predicted. All the searches we are going to do on the web, the websites we will visit can all be predicted according to the history of the user and everything we do on the internet is for future reference and...

DATA MINING CHANGES MEDIA AND COMMUNICATION SCENARIO The data mining of social media activity is now commonplace in business intelligence circles. Over the courseof the last 18 months, this stream of BI has experienced a startling rate of growth and reached lofty levels ofsophistication. Just...

‘ Datamining is necessary for survival. If you don’t use it to predict a trend before your competitors, you’re dead’. Eric Brethenoux ( research director for advanced technologies at the Gartner Group ) is not the only person who believes that datamining is a technology...

Data Mining Techniques With the development of Information Technology a large amount of databases and huge amount of data in various areas has been generated. The research in different databases and information technology has always given rise to an approach to store and manipulate this...

Big data resembles to a data flood. The abundance of data extends day by day. Big data focus on the huge extent of data. The data may be in the form of structured, unstructured and semi structured. The structured data consist of text files that...

With the advance growing of technology, expansion of research areas, deployment of different commercial and open sources GIS systems has lead out a massive collection of data stored in different debases. Nowadays, we generate about several trillion bytes of data every day, characterized by high...

A study of the cryptographic money scene uncovers no lack of an interesting and valuable framework that plan to unravel particular issues. There are project promising namelessness, speed, decentralization, less demanding mining, or versatility, yet few of these are a great possibility for far-reaching selection...

Big data Analytics involves gathering data from several resources, store it in a way that it becomes structured enough to be processed by data analysts and ultimately deliver the data product useful to organizations or businesses. The process of converting large amount of unstructured raw...

The treatment of missing values (MVs) is an important issue in data pre-processing in data mining. One reason is that attributes from data can be aggregated from different sources. Cases may not exist in all the data sources. The other reason is because of reporting...

While technology emerges in our everyday lives, people find new ways to manipulate it into their advantage. Data mining is one of these new technologies that many people including companies are using to their advantage for many things such as increasing sales or recognizing important...

Mortality prediction of intensive care unit (ICU) patients facilitates hospital benchmarking and has the opportunity to provide caregivers with useful summaries of patient health at the bedside. The development of novel models for mortality prediction is a popular task in machine learning, with researchers typically...

Abstract A standout amongst the most difficult assignments continuously condition is the expectation of house deals. Understanding the different components that impacts house deals is as much as critical on knowing the particular technique on the most proficient method to play out the forecast. Henceforth...

This paper deals with what exactly data leakage is and common methods on how it occurs in an organization. It also deals with mitigation steps which should be taken to limit these kinds of leakage. The increase in the methods of communication utilized by organizations...

Abstract Market basket analysis is the search for data that contain customer purchasing items. Market basket analysis is a process of showing the correlation between the data with respect to support and confidence. Support indicates that how frequently items appear in the database and confidence...

Most integrated cryptocurrency exchanges are mostly filled with lots of inefficiencies. There are delays, security dangers and tedious check necessities and high boundaries to a huge extent of potential clients, particularly newbies. However, Local Token Exchange is a product of a common vision created for...

With today’s increasingly modern technological development, a lot of new systems have been introduced to the public. The topics to be discussed are about cryptocurrency, one of the virtual money that has been used since 2009. People who want to avoid the intervention of a...

Cryptocurrencies have recently gained a lot of attention, the idea has been around for years, since 1983 to be more specific. David Chaum, and American cryptographer, had the idea for an anonymous currency called electronic cash. He believed in safe commerce, where we would need...

Data is unorganized information in raw form. We are currently in the age of Big Data which are large data sets that can be characterized by large volume, complexity, variety, velocity, resolution, flexibility etc. This data cannot be handled with traditional software systems, but with...

Tools data mining technique and methods used in developing the proposed study in Sales Forecasting of Starian Marketing Products and the statistical treatment of data in order to complete the study. Research Methods There are many methods that can be used in forecasting. In this...

Optimization algorithms based on the Swarm Intelligence (SI) were created for mimicking the shrewd conduct of creatures. In these displaying frameworks, a populace of life forms, for example, ants, honey bees, winged creatures, and fish are connecting with each other and with their condition through...

Blockchain and mining have been on theorists’ lips as far back as couple of years, and they viewed a gigantic spike in excitement since 2017, close by the surge of the cost of Bitcoin and diverse advanced monetary forms. Today, many envision that Blockchain will...

Verge (XVG) has been in the privacy coin market for a while and appears to be gathering more attention compared to its competition. Monero has been the most popular coin but its credibility appears to make user shift their attention to Verge due to its...

The paper will first define and describe what is data mining. It will also seek to determine why data mining is useful and show that data mining is concerned with the analysis of data and the use of techniques for finding patterns and regularities in...

Regardless of the criticalness of having the preferred standpoint and wonderful information in a relationship, there is with everything considered a general endorsement in the made work that low-quality information is an issue in different affiliations. Actually, much scholarly made work ensures that low-quality business...

Abstract— It is assumed as a difficult mission to relate everything on the earth by means of web, but Internet of Things will immensely change our life’s by agreeing to disagree. The amount of data that is being extracted from Internet of Things tends to...