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

What Is ISL Uranium Mining

In situ leach mining (ISL), also known as in-situ mining or solution mining, was first used as a means to extract low grades of uranium from ore in underground mines. First used in Wyoming in the 1950s, originally as a low production experiment at the Lucky June mine, it became a high-production, low cost method of fulfilling Atomic Energy Commission uranium requirements at Utah Construction Company's Shirley Basin mining operations in the 1960s. Pioneered through the efforts of Charles Don Snow, a uranium mining and exploration geologist employed by Utah, many of his developments are still used today in ISL mining.

What is ISL mining? According to the Wyoming Mining Association website, ISL mining is explained in the following manner. (We choose Wyoming because it is the birthplace of "solution mining" as it was originally called.)

"In-situ mining is a noninvasive, environmentally friendly mining process involving minimal surface disturbance which extracts uranium from porous sandstone aquifers by reversing the natural processes which deposited the uranium.

To be mined in situ, the uranium deposit must occur in permeable sandstone aquifers. These sandstone aquifers provide the "plumbing system" for both the original emplacement and the recovery of the uranium. The uranium was emplaced by weakly oxidizing ground water which moved through the plumbing systems of the geologic formation. To effectively extract uranium deposited from ground water, a company must first thoroughly define this plumbing system and then designs well fields that best fit the natural hydro-geological conditions.

Detailed mapping techniques, using geophysical data from standard logging tools, have been developed by uranium companies. These innovative mapping methods define the geologic controls of the original solutions, so that these same routes can be retraced for effective in situ leaching of the ore. Once the geometry of the ore bodies is known, the locations of injection and recovery wells are planned to effectively contact the uranium. This technique has been used in several thousand wells covering hundreds of acres.

Following the installation of the well field, a leaching solution (or lixiviant), consisting of native ground water containing dissolved oxygen and carbon dioxide, is delivered to the uranium-bearing strata through the injection wells. Once in contact with the mineralization, the lixiviant oxidizes the uranium minerals, which allows the uranium to dissolve in the ground water. Production wells, located between the injection wells, intercept the pregnant lixiviant and pump it to the surface. A centralized ion-exchange facility extracts the uranium from the barren lixiviant, stripped of uranium, is regenerated with oxygen and carbon dioxide and recirculated for continued leaching. The ion exchange resin, which becomes 'loaded' with uranium, it is stripped or eluted. Once eluted, the ion exchange resin is returned to the well field facility.

During the mining process, slightly more water is produced from the ore-bearing formation than is reinjected. This net withdrawal, or 'bleed,' produces a cone of depression in the mining area, controlling fluid flow and confining it to the mining zone. The mined aquifer is surrounded, both laterally and above and below, by monitor wells which are frequently sampled to ensure that all mining fluids are retained within the mining zone. The 'bleed' also provides a chemical bleed on the aquifer to limit the buildup of species like sulfate and chloride which are affected by the leaching process. The 'bleed' water is treated for removal of uranium and radium. This treated water is then disposed of through waste water land application, or irrigation. A very small volume of radioactive sludge results; this sludge is disposed of at an NRC licensed uranium tailings facility.

The ion exchange resin is stripped of its uranium, and the resulting rich eluate is precipitated to produce a yellow cake slurry. This slurry is dewatered and dried to a final drummed uranium concentrate.

At the conclusion of the leaching process in a well field area, the same injection and production wells and surface facilities are used for restoration of the affected ground water. Ground water restoration is accomplished in three ways. First, the water in the leach zone is removed by "ground water sweep", and native ground water flows in to replace the removed contaminated water. The water which is removed is again treated to remove radionuclides and disposed of in irrigation. Second, the water which is removed is processed to purify it, typically with reverse osmosis, and the pure water is injected into the affected aquifer. This reinjection of very pure water results in a large increment of water quality improvement in a short time period. Third, the soluble metal ions which resulted from the oxidation of the ore zone are chemically immobilized by injecting a reducing chemical into the ore zone, immobilizing these constituents in situ. Ground water restoration is continued until the affected water is suit
able for its pre-mining use.

Throughout the leaching and restoration processes, a company ensures the isolation of the leach zone by careful well placement and construction. The well fields are extensively monitored to prevent the contamination of other aquifers.

Once mining is complete, the aquifer is restored by pumping fresh water through the aquifer until the ground water meets the pre-mining use.

In situ mining has several advantages over conventional mining. First, the environmental impact is minimal, as the affected water is restored at the conclusion of mining. Second, it is lower cost, allowing Wyoming's low grade deposits to compete globally with the very high grade deposits of Canada. Finally the method is safe and proven, resulting in minimal employee exposure to health risks."

ISL mining may be the wave of the future of U.S. uranium mining, or it may become an interim mining measure, in areas where the geology is appropriate for IS. Until sufficient quantities of uranium are required by U.S. utilities to fuel the country's demand for nuclear energy, ISL mining may remain the leading uranium mining method in the United States. At some point, an overwhelming need for uranium for the nuclear fuel cycle may again put ISL mining in the backseat, and uranium miners may return to conventional mining methods, such as open pit mining.

Source: http://ezinearticles.com/?What-Is-ISL-Uranium-Mining&id=183880

Ancient Basic Tools to Green Light Laser: The Evolution of Mining

Mining is the process of extracting minerals and geological materials from the earth. Miners help recover many elements. These materials are rare as they are not grown, agriculturally processed or artificially created. Precious metals, coal, diamonds, and gold are just some of these materials. Mining also helps man to unearth non-renewable energy source like natural gas, petroleum, and even water. The job of miners can be difficult and risky. Thanks to efficient mining equipment, the task is a lot easier now.

People of the ancient time made use of the earth for many purposes. One way to make a living at the time is by mining. Equipment were not fully developed but people managed to unearth many precious stones and different kinds of metals. They use these minerals and elements in making basic tools for hunting and warfare. High quality flints found in masses of sedimentary rocks were in-demand in many parts of Europe. People used these flints as weapons during the Stone Age.

Ancient Egyptians were among the first to successfully get minerals from earth. Their advanced level of civilization made it possible for them to produce quality mining tools. They mined malachite and gold. Malachites are green stones used for pottery and as ornaments. The Egyptians started to quarry for other minerals not found in their soils. They head to Nubia, a part of Africa. There they used iron tools as mining equipment. That was the time when fire-setting was used to extract gold from ores. This method involves setting the rock containing the mineral against another rock, heat it and douse it with water. This was the most effective mining method that time.

The Romans also played an important part in the history of mining. They were the first to use large scale quarrying methods. An example of this is the application of volumes of water to operate simple machinery and remove debris. This is the birth of hydraulic mining.

The demand for metal increased dramatically in the 1300s. This was the time when swords, armors, and other weapons were in-demand. For this reason, miners looked for more sources of iron and silver. There was also an increase in the demand for coins that caused shortage of silver. Iron, on the other hand, was utilized in building constructions. With the high value of these materials, machineries and other mining equipment became in demand in the market.

These machines and equipment were the mothers of the present mining tools that we have today. Miners today use bulldozers, explosives and trucks. More advanced form of mining tools includes the use of green light laser serving as saw guides and machine alignment. With all these modern equipment, miners now have a safer and faster process to break down rocks and even carve out mountains. All these materials are produced and applied with the principles of engineering.

As of today, there are five major mining categories. They are coal, metal ore, non-metallic mineral mining, oil and gas extraction. Oil and gas extraction is among the biggest industries in the world today.

Source: http://ezinearticles.com/?Ancient-Basic-Tools-to-Green-Light-Laser:-The-Evolution-of-Mining&id=6768619

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

Revitalize and Refresh Your Home With a Dry Organic Deep Extraction Carpet Cleaning

While everyone is familiar with the old-style of water intensive steam-based carpet cleaning methods, few are aware of the benefits of high powered dry extraction carpet cleaning technology. With the environmental concerns of today, and water shortages throughout the country, dry extraction carpet cleaning is starting to gain popularity. This method employs the use of vigorous agitation, deep cleaning organic and biodegradable cleansing materials, and high powered vacuum extraction, to rejuvenate and cleanse deep into the carpet fibers.

The agitation system is composed of two counterrotating nylon brushes which are safe for any synthetic and natural carpet fiber. Natural material carries the cleaning agents and is spread similar to that of carpet powder. High vacuum pressure utilizing HEPA filtration extracts deep down dirt, grime and mold particles. Dry extraction carpet cleaning, while utilizing no water, will leave the carpet ready to walk on as soon as the cleaning is finished.

With old-style steam carpet cleaning it is oftentimes required to use several hundred gallons of water to achieve the same results. And while this type of carpet cleaning may seem less expensive, what many of these companies don't tell you, is that the water they will be using will come from your own tap. Many of the cheapest steam cleaning companies will simply utilize steam cleaning machines which will pump the used water back into your yard.

Dry extraction carpet cleaning requires no additional or hidden costs from the customer. The equipment is lightweight and easy to maneuver, allowing the technician to finish the job usually in half the time of conventional steam methods. Utilizing completely biodegradable organic carrier agents, this material is worked into the carpet to achieve the cleaning and then extracted through high-powered vacuum. The twin brushed agitation method stretches and extends the carpet pile, leaving a texture similar to that of freshly laid carpet.

The scent is pleasant and not overwhelming, leaving the home smelling fresh. Dry extraction carpet cleaning has been around for quite a few years commercialy, but only now is it starting to gain recognition and serious competition to other carpet cleaning services. When looking around for your next carpet cleaning service, consider a dry deep extraction system. With this method there are no harsh chemicals or cleaning agents that can harm your carpets, whether they are wool, shag, cut pile or premium import.

Try dry extraction cleaning the next time you want your carpet deep down clean, you won't be disappointed.

For the absolute best home cleaning and maid service on Metro North Atlanta. MaidPro can get the job done, you dirty it, we can clean it- guaranteed! We only use safe, organic, hypoallergenic, cleaning supplies and systems.

Source:http://ezinearticles.com/?Revitalize-and-Refresh-Your-Home-With-a-Dry-Organic-Deep-Extraction-Carpet-Cleaning&id=1608594

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/

How You Can Identify Buying Preferences of Customers Using Data Mining Techniques

The New Gold Rush: Exploring the Untapped ‘Data Mining’ Reserves of Top 3 Industries

In a bid to reach new moms bang on time, Target knows when you’ll get pregnant. Microsoft knows Return on Investment (ROI) of each of its employee. Pandora knows what’s your current music mood. Amazing, isn’t it?

Call it the stereotype of mathematician nerds or Holy Grail of predictive analysts of modern day, Data Mining is the new gold rush for many industries.

Today, companies are mining data to predict exact actions of their prospective customers. That means, when a huge chunk of customer data is seen through a series of sophisticated, formatted and collective data mining process, it can help create future-ready content of marketing and buying messages, diminishing scope of errors and maximizing customer loyalty.

Also a progressive team of coders and statisticians help push the envelope as far as the marketing and business tactics are concerned by collecting data and mining practices that are empowering.

Mentioned below is a detailed low-down of three such industries (real estate, retail and automobile) where LoginWorks Software has employed the most talented predictive analysts and comprehensive behavioral marketing platforms in the industry. Let’s take a look.

Real Estate Industry Looks Past the Spray-And-Pray Marketing Tactic By Mining User Data.

A supremely competitive market that is to an extent unstructured too, the real estate industry needs to reap the advantageous benefits of data mining. And, we at LoginWorks Softwares understand this extremely well!

Our robust team of knowledge-driven analysts make sure that we predict future trends, process the old data and rank the areas using actionable predictive analytics techniques. By applying a long-term strategy to analyze the trend and to get hold of the influential factors that are invested in buying a property, our data warehouses excels in using classical techniques, such as Neural Network, C&R Tree, linear regression, Multilayer Perception Model and SPSS in order to uncover the hidden knowledge.

By using Big Data as the bedrock of our Predictive Marketing Platform, we help you zero-in on the best possible property available for your interest. Data from more than a dozen of reliable national and international resources to give you the most accurate and up-to-the minute data. Right from extracting a refined database of one’s neighbourhood insights to classic knowledge discovery of meaningful l techniques, our statisticians have proven accuracy. We scientifically predict your data by:

•    Understanding powerful insights that lead to property-buying decisions.
•    Studying properties and ranking them city-wise, based on their predictability of getting sold in the future.
•    Measuring trends at micro level by making use of Home Price Index, Market Strength Indicator, Automated Valuation Model and Investment analytics.

Our marketing platform consists of the mentioned below automated features:

Data Mining Techniques for Customer Relationship Management and Customer Retention in Retail Industry

Data mining to a retailer is what mining gold to a goldsmith would be! Priceless, to say the least. To understand the dynamics and suggestive patterns of customer habits, a retailer is always scouting for information to up his sales and generate future leads from existing and prospective consumers. Hence, sourcing your birth date information from your social media profiles to zooming upon your customer’s buying behaviour in different seasons.

For a retailer, data mining helps the customer information to transform a point of sale into a detailed understanding of (1) Customer Identification; (2) Customer Attraction; (3) Customer Retention; and (4) Customer Development. A retailer can score potential benefits by calculating Return on Investment (ROI) of its customers by:

•    Gaining customer loyalty and long-term association
•    Saving up on huge spend on non-targeted advertising and marketing costs
•    Accessing customer information, which leads to directly targeting the profitable customers
•    Extending product life cycle
•    Uncovering predictable buying patterns that leads to a decrease in spoilage, distribution costs and holding costs

Our specialised marketing team targets customers for retention by applying myriad levels of data mining techniques, in both technological and statistical perspective. We primarily make use of ‘basket’ analysis technique that unearths links between two distinct products and ‘visual’ mining techniques that helps in discovering the power of instant visual association and buying.

Role of Data Mining in Retail Sector

Spinning the Magic Wheel of Data Mining Algorithms in Automobile Industry of Today

Often called as the ‘industries of industries’. the automobile industry of today is robustly engrossed in constructing new plants, and extracting more production levels from existing plants. Like food manufacturing and drug companies, today, automakers are in an urgent need to build sophisticated data extraction processes to keep themselves all equipped for exuberantly expensive and reputation-damaging incidents. If a data analytics by Teradata Corp, a data analytics company, is to be believed then the “auto industry spends $45 billion to $50 billion a year on recalls and warranty claim”. A number potentially damaging for the automobile industry at-large, we reckon!

Hence, it becomes all the more imperative for an automobile company of repute to make use of enhanced methodology of data mining algorithms.

Our analysts would help you to spot insightful patterns, trends, rules, and relationships from scores and scores of information, which is otherwise next to impossible for the human eye to trace or process. Our avant-garde technicians understand that an automative manufacturing industry does not interact on one-to-one basis with the end consumers on a direct basis, hence we step into the picture and use our fully-integrated data mining feature to help you with the:

•    Supply chain procedure (pre-sales and post-sales services, inventory, orders, production plan).
•    Full A-Zee marketing facts and figures(dealers, business centers, social media handling, direct marketing tactics, etc).
•    Manufacturing detailing (car configurations/packages/options codes and description).
•    Customers’ inclination information (websites web-activities).

Impact of Big Data Analytics of Direct Vehicle Pricing

Bottom line

To wrap it all up, it is imperative to understand that the customer data is just as crucial for an actionable insights as your regular listings data. Behavioural data and predictive analysis is where the real deal lies, because at the end of the day it is all about targeting the right audience with the right context!

Move forward in your industry by availing LOGNWORKS SOFTWARES’ comprehensive, integrated, strategic and sophisticated Data Mining Services.

Source: http://www.loginworks.com/blogs/web-scraping-blogs/can-identify-buying-preferences-customers-using-data-mining-techniques/