Choose the Best Data Mining Company With This Simple Rule

Data mining is the analysis part of the knowledge finding in databases. It involves finding patterns in large data sets including processes like artificial intelligence, machine learning, statistics, and database systems. The main reason why companies do data mining is to transform a large set of data into understandable block of information that can be used for market knowledge. It allows companies to make informed business decisions.

Data mining was looked upon as a luxury until some time back, but businesses are waking up to the importance of the process by seeing the difference it makes. Most of the multinational corporations already have mining integrated as one of their core processes. Many companies don't make strategic decisions unless they have the complete data converted into useful information using mining techniques. However, it is not a cheap process and would require being put to good use in order to be able to justify its cost. This results in a demand of a data mining company that could fulfill the client's needs by being resourceful and economical at the same time.

Searching for the perfect data mining company for your business could become a lot easier if you follow one simple rule. The rule is to make sure you make enough strategic decisions that result in good profit or at least break even with a single session of mining the data, which allows you to justify the cost you put into the whole process. Then, choose the company that offers you the best quotation which allows you to maximize your profits and improve your business processes even more.

Most companies are not very stringent with their plans and pricing and would be happy to go that extra mile in order to help the client. That extra mile could include offering a discount on the whole process, or offering added services or extended time period in the same package and price as quoted. The way you negotiate with the company will decide the profit that you will make from the entire data mining process.

Data mining will not only improve your business decisions, it will improve your business processes as a whole. If used correctly, it will allow you to extract more out of the limited resources. It allows you to have comprehensive real time market knowledge that always keeps you ahead of your competitors. Therefore, putting in a few extra bucks to integrate it into your core business process is a really good idea. As mentioned earlier, if used correctly then it will not only justify its own cost but also increase profits manifold.

Choose the right company by integrating the whole process in your business and make the most of the market knowledge that is present on the internet. The power to make the best and the most informed decisions lies in your own hands, and data mining is one approach that will certainly get you a lot closer to your business goals.

Source: http://ezinearticles.com/?Choose-the-Best-Data-Mining-Company-With-This-Simple-Rule&id=8784911

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.

Source: http://ezinearticles.com/?Data-Mining-Explained&id=4341782

Know the Different Types of Mining Processes

Mining has become a controversial industry because of its "devastating" effect to the environment and the ecosystem. However, it has contributed so much to civilization that without it, we could never be where we are today in many aspects.

There are two basic methods of mining. These are the surface and the underground mining processes:

1. Surface Mining

This involves the mining of minerals located at or near the surface of the earth. This encompasses at least six processes and these are:

• Strip Mining - this involves the stripping of the earth's surface by heavy machinery. This method is generally targeted at extracting coal or sedimentary rocks that lay near the earth's surface.

• Placer Mining - this involves the extraction of sediments in sand or gravel. It is a simple, old-fashioned way of mining. This method is generally applicable to gold and precious gems that are carried by the flow of water.

• Mountain Top Mining - this is a new method which involves blasting of a mountain top to expose coal deposits that lie underneath the mountain crest.

• Hydraulic Mining - this is an obsolete method that involves jetting the side of a mountain or hill with high pressure water to expose gold and other precious metals.

• Dredging - it involves the removal of rocks, sand and silt underneath a body of water to expose the minerals.

• Open Pit - this is the most common mining method. It involves the removal of the top layers of soil in search for gold or buried treasure. The miner digs deeper and deeper until a large, open-pit is created.

2. Underground Mining

This is the process in which a tunnel is made into the earth to find the mineral ore. The mining operation is usually performed with the use of underground mining equipment. Underground mining is done through the following methods:

• Slope Mining - it involves the creation of slopes into the ground in order to reach the ore or mineral deposit. This process is generally applied in coal mining.

• Hard rock - this method uses dynamite or giant drills to create large, deep tunnels. The miners support the tunnels with pillars to prevent them from collapsing. This is a large-scale mining process and is usually applied in the extraction of large copper, tin, lead, gold or silver deposits.

• Drift mining - this method is applicable only when the target mineral is accessible from the side of a mountain. It involves the creation of a tunnel that's slightly lower than the target mineral. The gravity makes the deposit fall to the tunnel where miners can collect them.

• Shaft method - this involves the creation of a vertical passageway that goes deep down underground where the deposit is located. Because of the depth, miners are brought in and out of the pit with elevators.

• Borehole method - this involves the use of a large drill and high pressure water to eject the target mineral.

These are the basic methods used in the extraction of common minerals. There are more complex systems, but still, they are based on these fundamental processes.

Source: http://ezinearticles.com/?Know-the-Different-Types-of-Mining-Processes&id=7932442

Uranium Mining Revival in New Mexico through Solution Mining

"We've got to get quickly on a track to energy independence from foreign oil, and that means, among other things, going back to nuclear power," U.S. Senator John McCain (R-AZ) recently told Fox News. U.S. Sen. Pete Domenici (R-NM) invited Louisiana Enrichment Services (LES) to build a gas-centrifuge uranium enrichment facility near Hobbs, New Mexico. The facility is currently undergoing the permitting process. Southwest Research and Information Center's Annette Aguayo told us the group planned to begin working on stopping that project. Some environmentalists remain behind the times.

Other environmentalists, who led before, are leading again. James Lovelock, the spiritual guru of the world's environmental movement, sometimes called the "Father of the Green Revolution," because of his research and widely embraced warnings on DDT and CFCs, wrote in Reader's Digest, (March, 2005), "The figures show that many people's fears of nuclear energy are unreasonable." Dr. Lovelock also said "the Greens are plain wrong to oppose it." In May, 2004, Lovelock wrote, "Nuclear power is the only green solution."

New Mexico is primed for a uranium revival, not with conventional mining, but with ISL operations. The in situ leaching method, also known as solution mining, is environmentally friendly. Because it is low cost and does not contaminate the environment in ways that uranium mining did in the 1950s, many uranium companies plan to use this safer method for mining uranium in New Mexico.

In a conversation, late last year, with Grants Chamber of Commerce and Mining Museum employee Barbara Hahn, a deep resentment resounded in her voice when talking about the collapse of the uranium mining business in the 1980s. Grants (NM) was a boom town, during the 1970s uranium boom, when spot uranium prices climbed, and stayed above $40/pound. "Grants replaced the lost mining jobs by opening prisons," she told us. "Now, others bring us their prisoners." Ms. Hahn believed only 35 percent of the uranium had been extracted from the Grants Mineral Belt. "Most of it is still there," she added. According to a McLemore and Chenoweth geological report, a resource of 558 million pounds (279,000 short tons) might still be extracted. The question in the 1980s as it is today revolves around the spot price of uranium.

The higher the spot price of uranium, the more economic it can be to mine. As the price of uranium rises, then the quantity of an economic resource increases. At $30/pound, the U.S. Energy Information Administrated reported the state of New Mexico held 84 million pounds of uranium oxide, grading 0.28/ton, as of Dec 31, 2003. However, at $50/pound uranium, that quantity would jump to 341 million pounds. The spread on the gross value of the uranium assets between those price levels is nearly $15 billion! As the spot price escalates, the economic reserves grow.

Said William Sheriff, Director of Corporate Development for Energy Metals (TSX: EMC), "Our long-term, big, big projects are going to be in New Mexico. Long term, we think New Mexico is going to be quite valuable to us." He explained his company's plans are to first develop production centers in Texas and Wyoming, before developing ISL operations in The Enchanted State. Sheriff added, "Nothing in New Mexico in terms of the first five years, but that's not to say we're going to sit idly by. We're going to be aggressively pursuing these. The only thing we're going to be pursuing is ISL production." Based upon the company's extensive acquisitions in Wyoming, New Mexico and elsewhere, Sheriff threw down the gauntlet at Cameco and Cogema, whose ISL operations in Wyoming contribute the largest share of U.S. uranium production, "We intend to become the largest ISL producer in the United States."

David Miller, President and Chief Operation Officer of Strathmore Minerals, (TSX: STM; Other OTC: STHJF), believes, "The ISL production method will continue to grow in the United States, but we will also see a return to conventional mining and milling in the western states." In addition to their Wyoming uranium properties, Strathmore hopes to move forward their Church Rock uranium property on the heels of Uranium Resources' (OTC BB: URRE) permitting on Section 17, held by their HRI subsidiary. Basically, all three companies are friendly neighbors in the area. There is evidence they frequently talk among themselves, comparing notes. The three uranium juniors appear to be the current major players in New Mexico for ISL uranium mining.

Ron Driscoll, one of the co-founders of Quincy Energy, which has been acquired by Energy Metals, said, "It will get interesting when the oil companies get involved again." It is probably early for the oil giants to rush back into uranium. In the last uranium boom, many of the major oil companies were leaders in the uranium exploration and mining. Kerr-McGee Nuclear was the number one private sector uranium producer in the world. Other major oil companies involved in uranium mining and exploration included Mobil, Phillips, Conoco, Exxon, Chevron, Amoco and others. Another of the recently arrived uranium juniors, Max Resources (TSX: MXR) also plans to drill at the other end of New Mexico, in Socorro County (about 100 miles south of Albuquerque). MXR's property was once drilled by OxyMin, a subsidiary of Occidental Petroleum, during the 1980s, before the price of uranium fell off a cliff.

Perhaps, one major company will emerge in New Mexico, consolidating the others, or some of the others. "There's a huge number of small uranium plays in the North American market that need critical mass," Neal Froneman, CEO of Uranium One (TSE: SXR) recently told a South African newspaper. "Consolidation will drive our business in the US and Canada, where we think it's tactically smart to be." Uranium One was itself a consolidation between Toronto-based Southern Cross and South African-based Aflease. Froneman concluded, ""It makes sense to have a major presence in North America in order to supply the (U.S.) utilities that will need to be built."

"The geology for this area, with regards to ISL uranium operations, could help make New Mexico an important supplier to U.S. utilities, possibly before the end of this decade," Strathmore's David Miller agreed. "I would not be surprised at all if there were more uranium to be found in New Mexico than is currently estimated. That's why companies have exploration programs." From a state, which has produced over 300 million pounds of uranium, and which may have between 300 million and 600 million additional pounds of uranium, New Mexico will be a prime target for uranium companies as long as the price of uranium continues to rise. Will uranium crash and burn, as it did in the 1980s? After accurately predicting the spot price of uranium would double in a StockInterview feature in June 2004, Miller recently told StockInterview, "I wouldn't be surprised to see the price double again."

Source:http://ezinearticles.com/?Uranium-Mining-Revival-in-New-Mexico-through-Solution-Mining&id=179129

Data Mining in the 21st Century: Business Intelligence Solutions Extract and Visualize

When you think of the term data mining, what comes to mind? If an image of a mine shaft and miners digging for diamonds or gold comes to mind, you're on the right track. Data mining involves digging for gems or nuggets of information buried deep within data. While the miners of yesteryear used manual labor, modern data minors use business intelligence solutions to extract and make sense of data.

As businesses have become more complex and more reliant on data, the sheer volume of data has exploded. The term "big data" is used to describe the massive amounts of data enterprises must dig through in order to find those golden nuggets. For example, imagine a large retailer with numerous sales promotions, inventory, point of sale systems, and a gift registry. Each of these systems contains useful data that could be mined to make smarter decisions. However, these systems may not be interlinked, making it more difficult to glean any meaningful insights.

Data warehouses are used to extract information from various legacy systems, transform the data into a common format, and load it into a data warehouse. This process is known as ETL (Extract, Transform, and Load). Once the information is standardized and merged, it becomes possible to work with that data.

Originally, all of this behind-the-scenes consolidation took place at predetermined intervals such as once a day, once a week, or even once a month. Intervals were often needed because the databases needed to be offline during these processes. A business running 24/7 simply couldn't afford the down time required to keep the data warehouse stocked with the freshest data. Depending on how often this process took place, the data could be old and no longer relevant. While this may have been fine in the 1980s or 1990s, it's not sufficient in today's fast-paced, interconnected world.

Real-time EFL has since been developed, allowing for continuous, non-invasive data warehousing. While most business intelligence solutions today are capable of mining, extracting, transforming, and loading data continuously without service disruptions, that's not the end of the story. In fact, data mining is just the beginning.

After mining data, what are you going to do with it? You need some form of enterprise reporting in order to make sense of the massive amounts of data coming in. In the past, enterprise reporting required extensive expertise to set up and maintain. Users were typically given a selection of pre-designed reports detailing various data points or functions. While some reports may have had some customization built in, such as user-defined date ranges, customization was limited. If a user needed a special report, it required getting someone from the IT department skilled in reporting to create or modify a report based on the user's needs. This could take weeks - and it often never happened due to the hassles and politics involved.

Fortunately, modern business intelligence solutions have taken enterprise reporting down to the user level. Intuitive controls and dashboards make creating a custom report a simple matter of drag and drop while data visualization tools make the data easy to comprehend. Best of all, these tools can be used on demand, allowing for true, real-time ad hoc enterprise reporting.

Source: http://ezinearticles.com/?Data-Mining-in-the-21st-Century:-Business-Intelligence-Solutions-Extract-and-Visualize&id=7504537

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.

Source: http://ezinearticles.com/?Internet-Data-Mining---How-Does-it-Help-Businesses?&id=3860679

Coal Seam Gas - Extraction and Processing

With rapidly depleting natural resources, people around the globe are looking for new sources of energy. Lots of people don't think much of it, but doing this is an excellent ecological move forward and may even be a lucrative endeavour. Australia has one the most significant deposits of a recently discovered gas known as coal seam gas. The deposit present in areas such as New South Wales is far more significant than the others since it contains little methane and much more carbon dioxide.

What is coal seam gas?

Coal bed methane is the more general term for this substance. It is a form of natural gas taken from substantial coal beds. The existence of this material usually spelled hazard for many sites. This stopped in recent decades, when specialists discovered its potential as an energy source. It's now among the most important sources of energy in a number of countries, particularly in North America. Extraction within australia is actually rapidly developing because of rich deposits in various parts of the country.

Extraction

The extraction procedure is reasonably challenging. It calls for heavy drilling, water pumping, and tubing. Though there are a variety of different processes, pipeline construction(an initial step) is perhaps one of the most important. The foundation of the course of action can spell a real difference between the failure or success of your undertaking.

Working with a Contractor

Pipeline construction and design is serious business. Seasoned contractors may be hard to get considering the fact that Australia's coal seam gas industry is still fairly young. You'll find only a limited number of completed and working projects across the country. There are several things to consider when getting a contractor for the project.

Find one with substantial experience within the industry sector. Some service providers have operations outside the country, especially in Canada And America. This is something you should look out for, as advancement of the gas originated there. Providers with completed projects in the said area can have the solutions required for any project to take off.

The construction process involves several basic steps. It is important the service provider you work with addresses all of your needs. Below are a few of the important supplementary services to look for.

- Pipeline design, production, and installation

- Custom ploughing (to achieve specialized trenching requirements)

- Protection and repair of pipelines with the use of various liners

- Pressure assessment and commissioning

These are only the fundamentals of pipeline construction. Sourcing coal seam gas involves many others. Do thorough research to ensure the service provider you employ is capable of completing all the necessary tasks. Other elements of the undertaking include engineering plus site preparation and rehabilitation. This industrial sector may be profitable if one makes all of the proper moves.

Avoid making uninformed decisions by doing as much research as you possibly can. Use the web to your advantage to look into a company's profile. Look for a portfolio of the projects they have completed in the past. You can gauge their trustworthiness based on their volume of clients. Check out the scope of their operations and the projects they finished.

You should also think about company policies concerning the quality of their work, safety and health, along with their policies concerning communities and the environment. These are seemingly minute but important details when searching for a contractor for pipeline construction projects.

Source: http://ezinearticles.com/?Coal-Seam-Gas---Extraction-and-Processing&id=6954936

Why common measures taken to prevent scraping aren't effective

Bots became more powerful in 2014. As the war continues, let’s take a closer look at why common strategies to prevent scraping didn’t pay off.

With the market for online businesses expanding rapidly, the development teams behind these online portals are under great amounts of pressure to keep up in the race. Scalability, availability and responsiveness are some of the commonly faced problems for a growing online business portal. As the value of content is increasing, content theft has become an increasing problem in the form of web scraping.

Competitors have learned to stay ahead of the race by using bots to scrape. While how these bots could be harmful is something worth talking about, it is not the main scope of this article. This article discusses some of the commonly used weapons to fight bots and brings to light their effectiveness in reality.

We come across many developers who claim to have taken measures to prevent their sites from being scraped. A common belief is that these below listed techniques reduce scraping activities significantly on a website. While some of these methods could actually work in concept, we were interested to explore how effective they were in practice.

Most Commonly used techniques to Prevent Scraping:

•    Setting up robots.txt – Surprisingly, this technique is used against malicious bots! Why this wouldn’t work is pretty straight forward – robots.txt is an agreement between websites and search engine bots to prevent search engine bots from accessing sensitive information. No malicious bot (or the scraper behind it) in it’s right mind would obey robots.txt. This is the most ineffective method to prevent scraping.

•    Filtering requests by User agent – The user agent string of a client is set by the client itself. One method is to obtain this from the HTTP header of a request. This way, a request can be filtered even before the content is served to the request. We observed that very few bots (approximately less than 10%), used the default user agent string which belonged to a scraping tool or was an empty string. Once their requests to the website were filtered based on the user agent, it didn’t take too long for scrapers to realize this and change their user agent to that of any well known browser. This method merely stops new bots written by inexperienced scrapers for a few hours.

•    Blacklisting the IP address – Seeking out to an IP blacklisting service is much easier than having to perform the hectic process of capturing more metrics from page requests and analyzing server logs. There are plenty of third party services which maintain a database of blacklisted IPs. In our hunt for a suitable blacklisting service, we found that using a third party DNSBL/RBL service was not effective as these services blacklisted only email spambot servers and were not effective in preventing scraping bots. Less than 2% of scraping bots were detected for one of our customer’s when we did a trial run.

•    Throwing CAPTCHA – A very well know practice to stop bots is to throw CAPTCHA on pages with sensitive content. Although effective against bots, CAPTCHA is thrown to all clients requesting the web page irrespective of whether it is a human or a bot. This method often antagonizes users and hence reduces traffic to the website. Some more insights to the new NO CAPTCHA Re-CAPTCHA by Google can be found in our previous blog post.

•    Honey pot or Honey trap – Honey pots are a brilliant trap mechanism to capture new bots (scrapers who are not well versed with structure of every page) on the website. But, this approach poses a lesser known threat of reducing the page rank on search engines. Here’s why – Search engine bots visit these links and might get trapped accidentally. Even if exceptions to the page were made by disallowing a set of known user agents, the links to the traps might be indexed by a search engine bot. These links are interpreted as dead, irrelevant or fake links by search engines. With more such traps, the ranking of the website decreases considerably. Furthermore, filtering requests based on user agent can exploited as discussed above. In short, honey pots are risky business which must be handled very carefully.

To summarize, these prevention strategies listed are either weak or require constant monitoring and regular maintenance to keep them effective. In practice bots are far more challenging than they actually seem to be.

What to expect in 2015?

With increasing need for scraping, the number of scraping tools and expert scrapers are also increasing which simply means bots are going to be an increasing problem. In fact, the usage of headless browsers i.e, browser like bots which are used to scrape are increasing and scrapers are no longer relying on wget, curl and html parsers. Preventing malicious bots from stealing content without actually disturbing the genuine traffic from humans and search engine bots is just going get harder. By the end of the year, we could infer from our database that almost half of an average website’s traffic is caused by bots. And a whopping 30-40% is caused by malicious bots. We believe this is only going to increase if we do not step up to take action!

p.s. If you think you are facing similar problems, why not request for more information? Also, if you do not have the time or bandwidth for taking such actions, scraping prevention and stopping malicious bots is something we provide as a service. How about a free trial?

Source:http://www.shieldsquare.com/why-common-measures-taken-to-prevent-scraping-arent-effective/