Data mining

On February 26, 1972, towns in Logan County, West Virginia were devastated and destroyed by a massive flood caused by a local dam that had burst. The Pittston Coal Company had three different dams that played different roles in day-to-day operations, but one day, dam number three was no more. In the 1960s and very early 1970s, the Pittston Coal Company was the number one independent coal producing companies in the country. They were also fourth in concerns when it came to coal mines in the…

BHP Billiton is an Anglo-Australian multinational mining, metals and petroleum company with its headquarter in Perth, Australia. According to the revenues in the year 2013, BHP Billiton is the world's largest mining company and Australia's largest company. They specialize in mining, processing and oil and gas production at sites in over 25 countries, such as Canada, Chile, Peru and many more. Their main products happen to be coal, copper, iron ore, petroleum and potash. In BHP Billiton,…

the benefits of the following database technologies • Data Mining • Data Warehousing What is Data mining? According to (Jiawei Han, 2011) “We living in a world where vast amount of data are collected daily. Analysing such data is an important need”. Data mining it is a process to discover patterns in large amount of data and turn data into knowledge What is the purpose? The goal of the data mining process is to extract information from a data set and convert it into an understandable…

Zenith is one of the largest mining and crushing equipment manufacturers in the world. It is recommended that processing infrastructure be sourced from Zenith if it economically viable. A crusher will be essential in processing the material. There are many different types of crushers…

assist small business manager through enhance the performance of websites and apps whether they want to increase sales or attract more customers. Google Analytics has three major tool sets that used for data collection and management; data analysis, visualization and reporting; and data activation. Data collection and management with Google Analytics provides a single, comprehensive view of the customer that can be customized for special needs and shared across the organization. In the case of…

The Counterfeit Coins Problem is a well-known complex search problem in mathematics as well as in computer science. It can be related to the data structure (such as binary tree) computer program, algorithm, Graph Theory, Therefore researching this problem is meaningful. The Counterfeit Coins problem can be described as given a set of n look-alike Coins containing One Counterfeit which is a bit heavier or lighter than the genuine Coins. The objective is to find the Counterfeit Coins in minimum…

7. Analysis Virgin Atlantic set a very strong and continuous focal point at innovation which displayed in Figure 2. There are lots of examples showing its creation and innovation. Such as innovator to provide arrival lounge at London Heathrow (Ravi & Sun, 2016), fancy first class sleeper seats (Aaker & Joachimsthaler, 2000), first airline pilot career programme (PilotCareerNews, 2014) and use of Google Glass to enhance customer service (Rossi, 2014). Virgin Atlantic innovative culture is…

Government data mining depends on the access to large pool of data about Americans from federal government files, states public records, telecommunications company data bases, such as banks, healthcare providers and more (Harper). In particular, predictive data mining has the appetite for Americans’ personal information for it utilizes data both in developing patterns and in the search for those patterns (Harper). Most Americans are left in the dark that a lot of information about them in the…

Big data has transformed into an important element in establishing growth for any business. The term is used to describe a crucial and massive volume of data to be processed by any software technique. It can also be referred to as a hi-tech tool used to handle large amounts of data. Big data is imperative to a business as it produces a more accurate analysis due to the large amounts of data. Consequently, users can make better decisions that can be helpful in reducing risks and greater…

with many things, the data mart’s biggest asset is also its biggest flaw. And the biggest problem with data marts is that they are compartmentalized. Only one group of people can access that information. If that group wants additional data, it must be gathered from a different data mart or data warehouse and brought to their data mart (Westerman 13). When this happens there can be numerous warehouses to maintain, which is not desired. Wal-Mart advises to wait until the data warehouse is…