Data Mining - Free Essay Examples and Topic Ideas

Litecoin (LTC) is with no doubt one of the strongest crypto projects in the market. It is fast, has low cost transactions, and has the lightning network, which makes it almost infinitely scalable. However, Charles Lee, the main person behind Litecoin has been making moves that in the grand scheme of things put to question the future of this crypto. It started with Charles allegedly selling all his coins during the December high, a move that slowed down Litecoin (LTC)…

After a series of researches, discussions and deliberations, the strategic partnership between Mindfire Foundation and SingularityNET has finally came into reality. SingularityNET, full-stack of AIs announced its collaboration with the Mindfire. The latter is a Swiss non-profit that unites all the greatest AI talent around the world to produce an Artificial Intelligence same on human mind. The partnership between the two happened yesterday and is expected to focus on 3 core areas- talent, AI service and AI education. Talent- The…

If you are not updated, you will get out dated!!Learning process knows no Limits. When you swim to the depth of it, you engulf yourself to the world of Clarity in understanding things. One such Pillar which can’t be appeased from today’s World is Machine Learning. This Digital World has thrown a huge challenge to every data Scientist. In other words it makes everyone sink in the world of Technology. As a profound Data Scientist one has to use his…

Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. Data mining tools allow enterprises to predict future trends. Data mining techniques are used in many research areas including mathematics, cybernetics, genetics and marketing. While data mining techniques are means to drive efficiencies and predict customer behavior, if used correctly. Data mining is in fact, considered to be as a crucial technique for the business attempting to…

A Momentous growth in the development of large-scale database and network technology have made internet users have access to a staggering amount of multimedia data in the form of text, audio and video worldwide. Focusing on audio data alone, thousands of music profiles, lectures and speeches are transferred within fractions of a second over the internet. This is particularly true in the case of songs. Music choices vary from person to person, even within the same geographical culture. Thus it…

Before understanding what is “Data mining” we need to understand what “Data” is. Data is defined as “Basic values or facts” which are taken from any individuals or other organizations. To understand why data mining is required let’s put it in perspective, every day about 700 million tweets are generated. This amount of data is very difficult to track and analyze, that is why we need data mining and its intelligent algorithms to predict and make lives easier. But with…

Uses of Statistics in everyday life are tools of statistics (programs and computing speeds) improve so do their relevance in different researches. Statistics are used heavily in social research, from surveys to factor analysis to data mining.The field of statistics is the science of learning from data. Statistical knowledge helps you use the proper methods to collect the data, employ the correct analyses, and effectively present the results. Statistics is a crucial process behind how we make discoveries in science,…

The mining industry has a long history of unethical business practices. “The Hole Story” is a 2011 documentary by Richard Desjardins and Robert Monderie. It investigates the history of mining and the significant impact it has on workers’ health and the environment. In this analysis of the documentary; we will explore the presence of some environmental justice issues, Bullard’s three types of equity, and governance tension and their possible solutions. Environmental JusticeEnvironmental justice is a movement that fought for the…

Abstract The Rapid growth of Juvenile delinquency or criminal offense by minor children below 18 years age is widely noticed in India. There are many factors like family & parents, education levels, financial problems, peer groups, mental issues, drugs, media, internet, easy access to online videos etc contributed for the immoral ideas of the teens. In this research paper, we make analysis of two major risk factors, family background & education levels of juveniles involved in crimes. We discover strong…

IntroductionThe usage of package has invaded our day-to-day lives as it enable us to carry through many undertakings particularly those which are associated in making assorted concern procedures and in covering with different concern systems. It enables the usage of cognition on both calculating and computing machines to be able to assist work out assorted jobs which confront mundane state of affairss. The frequently most encountered jobs encountered in the field of package technology trades with computing machines and calculating…

Presents, digital information is comparatively easy to capture and reasonably cheap to hive away. The digital revolution has been aggregations of informations grow in size and the complexness of the informations therein addition. Question normally originating as a consequence of this province of personal businesss is, holding gathered such measures of informations, what we really do with it? It is frequently the instance that big aggregations of informations, nevertheless good structured, conceal inexplicit forms of information that can non be…

Data Mining is a reasonably recent and modern-day subject in calculating. However, Data Mining applies many older computational techniques from statistics, machine acquisition and pattern acknowledgment. This paper explores two most popular bunch techniques are the k-means & A ; k-medoids constellating algorithm. However, k-means algorithm is cluster or to group your objects based on properties into K figure of group andA k-medoidsA is aA related to theA K-meansA algorithm. These algorithms are based on the K divider algorithms and…

Headline categorization Tool is a web application that can be used to sort intelligence headlines into different classs. Many of the bing intelligence categorization rely on full intelligence article content to sort a intelligence article into a specific class. We intend to construct an automatic categorization and analysis tool that uses merely the content in the intelligence headline for categorization. Headlines from different intelligence beginnings will be classified into assorted pre-defined classs utilizing supervised larning algorithms. We besides intend measure…

Recommended Systems using Collaborative Filtering and Classification Algorithms in Data Mining Dhwani Shah 2008A7PS097G Mentor – Mrs. Shubhangi Gawali BITSC331 2011 1 BITS – Pilani, K. K Birla Goa INDEX S. No. 1. 2. 3. 4. 5. 6. 7. 8. 9. Topic Introduction to Recommended Systems Problem Statement Apriori Algorithm Pseudo Code Apriori algorithm Example Classification Classification Techniques k-NN algorithm Determine a good value of k References Page No. 3 5 5 7 14 16 19 24 26 2 1.…

Data excavation, and knowledge find in databases, has been universally recognized as an of import research issue with wide applications. This study present a complete reappraisal, on the advancement of informations mining techniques since 1990 's, literature reappraisal on informations mining methods and algorithms which includes word picture, categorization, constellating, association, development, and informations visual image, and issues on challenges in informations mining specially on the multimedia informations. It besides comprises some of the real-world applications, and current and future…

Data excavation is pull outing the concealed information from big databases. The application of informations excavation is extremely seeable in commercialism, instruction, multimedia, medical specialty, etc. Classifying informations is really indispensable to do anticipations for future intents. An appropriate theoretical account has to be designed for achieving accurate consequences. The classifier learns through the preparation set and assigns trial dataset into appropriate categories. The category of preparation set is known where as the category of trial set is unknown. This…

T & F Company for the 3rd time has been ambushed by new developments in the industry. If this trend continues it will continue loosing its fair share of the market to the competition. Therefore the company has to be proactive in its approach if it is going to continue enjoying a leading role in this industry. One important tool that it can utilize with far reaching effect is the Business Intelligence tool. Business Intelligence is management terms that enables…

In 2007, two papers were published. In first paper titles as 'Applying Data Mining Techniques to e-Learning Problems.' by Castro F., Vellido A., Nebot Г. & Mugica F. The authors aim is to provide an up-to-date snapshot of the current state of research and applications of Data Mining methods in e-learning. In this paper, authors presented a categorisation of e-learning complications to which DMT like, Neural Networks, Genetic Algorithms, Clustering and Visualization Methods, Fuzzy Logic, Intelligent agents, and Inductive Reasoning,…

Mobile-based Intelligent Skin Diseases Diagnosis SystemSubtitle as needed (paper subtitle)Abdulfattah Esmail Hasan Abdullah Ba AlawiSoftware Engineering. Faculty of Engineering & ITTaiz UniversityTaiz, YemenBaalawi.Abdulfattah@gmail.comDr. Amer Ali SallamComputer Engineering. Faculty of Engineering & ITTaiz UniversityTaiz, YemenAmer.Sallam@gmail.comAbstract Skin diseases are the most common diseases in humans. The inherent variability in the appearance of skin diseases makes it hard even for medical experts to detect disease's type from dermoscopic images. Recent advances in image processing using the Convolution Neural Networks have led to better…

Abstract Data mining is a procedure of AI where machine can examine the dataset to distinguish or perceive the example of the data as indicated by explicit guidance. The point is to recognize or identify a fraud dependent on past dataset. The data mining calculation will assist us with categorizing the data and stick point the fraud. This paper is somewhat of an overview paper and where will be a condensed three paper dependent on fraud location. INTRODUCTION Now a…

IntroductionHigher education affects almost everyone - as students, parents, part-timers and citizens or as candidates of scientific, medical, and technological research. A higher college education is coming ever closer to being considered so basic that, it is too important to be left to the differential competitive forces of the current survival of marketplace.Today higher education is caught up in indulge political issues that are increasingly relying on it to solve economic problems as well as social problems. Colleges are expanding…

Data Mining Discussion QuestionsName:Institution of Affiliation:DateQ1: According to Shneiderman and Bederson (2003), information visualization emerged from research in human-computer interaction, computer science, graphics, visual design, psychology, and business.  With this revelation in mind, identify, and discuss the benefits?There are various benefits of information visualization. First, information visualization is a gateway to information systems. Information specialists can benefit from information visualization since effective visualization systems offer an intuitive way for people to understand the various relationships between information assets which may seem…

This is regarded as faunal remains. Radiocarbon dating is one technique that could be utilised to determine whether feature 202, is a pit that can be dated back to either the Bronze Age or the Late Iron Age. Aurochs is a species that was virtually extinct in Britain by the Late Bronze Age. Finds of aurochs on British Iron Age and Roman sites are extremely rare. Dating this artefact will help investigate the given scenarios and answer the research question…

In Chapter 2 we saw how clustering methods such as the K-means algorithm and hi-erarchical clustering can be used to identify data point that are similar to each otherin such a way that they belong to the same group (cluster) of points. However, whendealing with data (especially large data sets), there are often some limitations with thesealgorithms already discussed. We want to apply clustering algorithms whilst making thefewest assumptions possible and not having to specify the number of clusters to…

Abstract Diagnostic services plays an important role in medical decision-making. Based on estimation, 70% of all decisions related to patient's diagnosis and treatment including hospital admission and discharge are based on laboratory test results. No diagnosis is set by a single laboratory test result and each test result is interpreted and judged together with other (previous) test results. This project is focused on understanding what type of laboratory tests are referred by physician based on their specialization and which type…

ANALAYSIS AND PREDICTION OF DIABETES DATASETS USING DATA MINNING CLASSIFICATION TECHNIQUES ABSTRACT Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. Data mining tools allow enterprises to predict future trends. According to WHO 2014 report, around 422 million people worldwide are suffering from diabetes. This methods strongly based on data mining techniques can be effectively applied for high blood pressure risk prediction. In this paper, we…

Collecting complete and precise information of overall goods investing requires the access to spend data from all relevant sources both within and outside the business. Excellent data can not be gathered when spend analysis is not supported by stakeholders including customers, suppliers, and internal customers. Type a spend analysis group The company requires to realize that invest analysis is too vital to be appointed as an additional responsibility of buying department. An invest analysis team need to be formed and…

The biomedical admissions test was created to assist medical and veterinary schools in the admissions process. Some of the universities have much more applications than places and the majority of these applications are strong. The BMAT allows the universities to filter out the strongest candidates based on exam performance. The BMAT exam lasts for 2 hours and is split into 3 sections. The examination test date is 31st October 2008. This article will aim to provide you with some advice…

Data analysis and data interpretation stand as pillars in the intricate edifice of information processing, each possessing unique facets while harmonizing to extract meaningful insights. Before delving into the nuances of these processes, let's establish a foundational understanding of the term 'data.' Data is factual information serving as the bedrock for reasoning, discussion, or calculation, encompassing various types, both relevant and irrelevant, necessitating processing to extract meaningful insights.The Foundation: Defining DataData, in its essence, is the raw material from which…

I've always been fascinated by research, especially work that benefits common people or the environment. The idea that my efforts may better someone's life or help create a greener planet motivates me. So after a successful career in IT, I intend to pursue my MS in Computer Science at University of Pennsylvania in order to build my research skills and work towards my interests in Computer Visualization, Data Mining, and Software Engineering. After completing my bachelor’s degree in Electrical Engineering,…

2.1Assuming that data mining techniques are to be used in the following cases, identify whether the task required is supervised or unsupervised learning. a.Supervised-Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). b.Unsupervised-In an online bookstore, making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions. c.Supervised-Identifying a network data packet as dangerous (virus, hacker attack)…

Ch. 1 Introduction What are the 3 activities in an info system that produces the information companies use to control operations? What is an intranet utilizes? Specify operational quality. How can details systems assist attain it? Explain a minimum of 3 of the general information abilities important for all service professions. Ch. 2. E-business What is enterprise application system? What is e-commerce? What is SCM and how can a good SCM system increase revenues for a business? What is CRM…

Introduction In the information age, technological advancements have facilitated the collection of large amounts of information on various fields to include military intelligence, scientific and business data amongst several others. Computers are able to sort out this data with the aid of database management systems. Data can be classified according to predefined criteria. Data mining involves the extraction of implicit and useful information from databases. Use of relational databases is more helpful in the sense that it allows linkage with…