Essays on Data Mining

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...

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...

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...

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 a few short years ago, consumer-oriented businesses...

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...

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...

A typical database for a company that sells building materials might be arranged as follows: The company must have at least one customer. Each customer in the database is assigned one or more addresses, one or more contact phones, and a default salesperson who is...

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...

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...

Introduction With the advent of computers and Internet technology, the scopes for collecting data and using them for various purposes has exploded. The possibilities are especially alluring when it comes to textual data. Converting the vast amount of data that has accumulated over the years...

Much of the workings of the world today are controlled and powered by information, giving credence to that famous quote, “information is power”. Professionals, researchers, organizations, businesses, industries and even governments cannot function without information serving as “fuel” for decision-making, strategizing, gaining and storing knowledge....

Introduction. Business intelligence refers to software, hardware and practices applied in collecting data, processing it and analyzing it in order to assist managers in informed decision making. A Data Warehouse is composite storage area for data taken from several areas in the company. Data warehousing...

Today’s economy is one big, continuous flow of data. One’s ability to collect, analyze, and use data to benefit their company is an invaluable asset. The process of compiling and organizing data into one common database is data warehousing. The data mining process relies on...

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— 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...

Leadership Theories and Frameworks The purpose of this essay is to examine the main components of the Transactional leadership, Transformational leadership, and Authentic leadership theories. Then identify three strengths and three weaknesses of each of the theories for understanding leadership behaviour. Transactional leadership Theory The...

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...

Ahmad Aldhafiri CEGR 4802/1/2018 GIS A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present all types of geographic data. The key word to this technology is Geography – this means that some portion of the data is...

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 k Nearest Neighbor (KNN) strategy is a notable classification strategy in data mining and estimations in light of its direct execution and colossal arrangement execution. In any case, it is outlandish for ordinary KNN strategies to select settled k esteem to all tests. Past...

Inverse reinforcement learning is the problem of making an agent learn reward function by observing an expert agent with a given policy or behavior. RL problems give a powerful solution for sequential problems by making use of agents with a given reward function to find...

Bitcoin is a cryptocurrency that has recently emerged as a popular medium of exchange, with a rich and extensive ecosystem. The Bitcoin network runs at over 42 × 1018 FLOPS, with a total market capitalization around 1.5 billion US Dollars as of October 2013. Central...

Keywords: server consolidation, VM Migration, Quality of Service, virtualized data center, Service Level Agreements, Highest Thermostat Setting, Energy efficient, virtual machine placement, migration, dynamic resource allocation, cloud computing, data centers Cloud computing is architecture for providing computing service via the internet on demand and pay...

As of 2015, 2.7 billion people were live on the Internet; and we saw an increase of 60 times largely from the Asia Pacific. The Internet user growth in India is up by 40% in 2017. Do we still need a reason to digitize our...

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...

One of the most fundamental challenges in the process of data integration is setting realistic expectations. The term data integration conjures a perfect coordination of diversified databases, software, equipment, and personnel into a smoothly functioning alliance, free of the persistent headaches that mark less comprehensive...

Podcasting is the process of capturing and posting an audio event in digital sound object online. The word podcast was primarily formed as an amalgam of ‘iPod’ and ‘broadcast’, so that can give one a general idea of the nature. Podcasts are similar to radio...

While running their day to day business, organizations encounter textual data. The source of the data could be electronic text, call center logs, social media, corporate documents, research papers, application forms, service notes, emails, etc. This data may be accessible but remains untapped due to...

Data collection is the process of gathering and measuring information on targeted variables in an established systematic fashion, which then enables one to answer relevant questions and evaluate outcomes. The four possible data collection methods I have chosen for the program plan are observations, focus...

One of the most important tasks in the process of data integration is setting realistic expectations. The term data integration invokes a perfect coordination of diversified databases, software, equipment, and personnel into a smoothly functioning alliance, free of the persistent headaches that mark less comprehensive...