Data Mining Explained

Overview

Data mining is the crucial process of extracting implicit and possibly useful information from data. It uses analytical and visualization techniques to explore and present information in a format which is easily understandable by humans.

Data mining is widely used in a variety of profiling practices, such as fraud detection, marketing research, surveys and scientific discovery.

In this article I will briefly explain some of the fundamentals and its applications in the real world.

Herein I will not discuss related processes of any sorts, including Data Extraction and Data Structuring.

The Effort

Data Mining has found its application in various fields such as financial institutions, health-care & bio-informatics, business intelligence, social networks data research and many more.

Businesses use it to understand consumer behavior, analyze buying patterns of clients and expand its marketing efforts. Banks and financial institutions use it to detect credit card frauds by recognizing the patterns involved in fake transactions.

The Knack

There is definitely a knack to Data Mining, as there is with any other field of web research activities. That is why it is referred as a craft rather than a science. A craft is the skilled practicing of an occupation.

One point I would like to make here is that data mining solutions offers an analytical perspective into the performance of a company depending on the historical data but one need to consider unknown external events and deceitful activities. On the flip side it is more critical especially for Regulatory bodies to forecast such activities in advance and take necessary measures to prevent such events in future.

In Closing

There are many important niches of Web Data Research that this article has not covered. But I hope that this article will provide you a stage to drill down further into this subject, if you want to do so!

Should you have any queries, please feel free to mail me. I would be pleased to answer each of your queries in detail.

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Metallurgist Roles in Mining Companies

Mining of metals and minerals is a growth industry, especially in Africa, providing job opportunities for metallurgists to work in various roles. Positions are well paid as metallurgists are required to have at least one degree from an accredited university or college. The preferred qualifications are a Bachelors Degree in Extractive Metallurgy or Metallurgical Engineering or BSc. in Chemical Engineering with a major in Mineral Processing. This is not a profession where candidates can learn the required skills on the job although experience can be gained throughout their career by expanding their exposure to different types of work on mines.

The type of work they do

The most common metallurgist roles include project management, consulting, technical or site management and research. For example, on a mine he/she would be expected to:

•    Design work programs and manage all metallurgical testing both in-house and with external service providers and laboratories

•    Work with the senior team to review and evaluate technical solutions

•    Liaise with geologists and other technical personnel to ensure the most suitable metallurgical solution is understood and employed

•    Constantly re-evaluate the metallurgical performance

At middle management level, as a project manager they would coordinate day-to-day mining activities, manage quality assurance and generally ensure a smooth operation. Mining companies look for a minimum of 5 years experience before they post these types of managers to remotely located mines. At the most senior level metallurgists can become mine managers which includes coordinating all operations, staffing, running the site itself, selecting the extraction process, and resolving operational and business issues.

Furthering a career

Metallurgists with further education and extensive experience in many technical processes become professional consultants or researchers either working directly for a large mining company or for a consulting firm contracted to it. Their role may be to advise clients on process engineering, to perform cost analyses or do budgeting. They may get involved in environmental impact assessments, HSEQ and social responsibility as well. The mining industry is constantly updating its methods of extraction and waste management in order to stay profitable and needs researchers to continue to explore new methods and processes. Pay levels vary depending on work experience, area of expertise and the location where they are posted.

Some of the personal attributes required to be successful in this field are to be an effective team player, have a high level of inter-personal communication skills and be able to express yourself in writing. A good knowledge of French is often asked for when an African posting is offered. Because of inhospitable locations and remoteness of mines, most of the postings attract single people or more mature staff who do not have school-going children.

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Internet Data Mining - How Does it Help Businesses?

Internet has become an indispensable medium for people to conduct different types of businesses and transactions too. This has given rise to the employment of different internet data mining tools and strategies so that they could better their main purpose of existence on the internet platform and also increase their customer base manifold.

Internet data-mining encompasses various processes of collecting and summarizing different data from various websites or webpage contents or make use of different login procedures so that they could identify various patterns. With the help of internet data-mining it becomes extremely easy to spot a potential competitor, pep up the customer support service on the website and make it more customers oriented.

There are different types of internet data_mining techniques which include content, usage and structure mining. Content mining focuses more on the subject matter that is present on a website which includes the video, audio, images and text. Usage mining focuses on a process where the servers report the aspects accessed by users through the server access logs. This data helps in creating an effective and an efficient website structure. Structure mining focuses on the nature of connection of the websites. This is effective in finding out the similarities between various websites.

Also known as web data_mining, with the aid of the tools and the techniques, one can predict the potential growth in a selective market regarding a specific product. Data gathering has never been so easy and one could make use of a variety of tools to gather data and that too in simpler methods. With the help of the data mining tools, screen scraping, web harvesting and web crawling have become very easy and requisite data can be put readily into a usable style and format. Gathering data from anywhere in the web has become as simple as saying 1-2-3. Internet data-mining tools therefore are effective predictors of the future trends that the business might take.

If you are interested to know something more on Web Data Mining and other details, you are welcome to the Screen Scraping Technology site.

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