Database Mining

The term database mining refers to the process of extracting information from a set database and transforming that into understandable information. The data mining process is also known as data dredging or data snooping. The consumer focused companies into retail, financial, communication, and marketing fields are using data mining for cost reduction and increase revenues. This process is the powerful technology, which helps the organisations to focus on the most important and relevant information from their collected data. Organisations can easily understand the potential customers and their behaviour with this process. By predicting behaviours of future trends the recruitment process outsourcing firms assists the multiple organisations to make proactive and profitable decisions in their business. The database mining term is originated from the similarities between searching for valuable information in large databases and mining a mountain for a vein of valuable crystal.

Recruitment process outsourcing firm helps the organisation for the betterment of their future by analyzing the data from distinctive dimensions or angles. From the business point of view, the data mining and data entry services leads the organisation to increase their profitability and customer demands. Data mining process is must for every organisation to survive in the competitive market and quality assurance. Now a day the data mining services are actively utilised and adapted by many organisations to achieve great success and analyse competitor growth, profit analysis, budget, and sales etc. The data mining is a form of artificial intelligence that uses the automated process to find required information. You can easily and swiftly plan your business strategy for the future by finding and collecting the equivalent information from huge data.

With the advanced analytics and modern techniques, the database mining process uncovers the in-depth business intelligence. You can ask for the certain information and let this process provide you information, which can lead to an immense improvement in your business and quality. Every organisation holds a huge amount of data in their database. Due to rapid computerisation of business, the large amount of data gets produced by every organisation and then database mining comes in the picture. When there are problems arising and challenges addressing in the database management of your organisation, the fundamental usage of data mining will help you out with maximum returns. Thus, from the strategic point of view, the rapidly growing world of digital data will depend on the ability of mining and managing the data.

Source: http://ezinearticles.com/?Database-Mining&id=7292341

What is Data Mining? Why Data Mining is Important?

Searching, Collecting, Filtering and Analyzing of data define as data mining. The large amount of information can be retrieved from wide range of form such as different data relationships, patterns or any significant statistical co-relations. Today the advent of computers, large databases and the internet is make easier way to collect millions, billions and even trillions of pieces of data that can be systematically analyzed to help look for relationships and to seek solutions to difficult problems.

The government, private company, large organization and all businesses are looking for large volume of information collection for research and business development. These all collected data can be stored by them to future use. Such kind of information is most important whenever it is require. It will take very much time for searching and find require information from the internet or any other resources.

Here is an overview of data mining services inclusion:

* Market research, product research, survey and analysis

* Collection information about investors, funds and investments

* Forums, blogs and other resources for customer views/opinions

* Scanning large volumes of data

* Information extraction

* Pre-processing of data from the data warehouse

* Meta data extraction

* Web data online mining services

* data online mining research

* Online newspaper and news sources information research

* Excel sheet presentation of data collected from online sources

* Competitor analysis

* data mining books

* Information interpretation

* Updating collected data

After applying the process of data mining, you can easily information extract from filtered information and processing the refining the information. This data process is mainly divided into 3 sections; pre-processing, mining and validation. In short, data online mining is a process of converting data into authentic information.

The most important is that it takes much time to find important information from the data. If you want to grow your business rapidly, you must take quick and accurate decisions to grab timely available opportunities.

Outsourcing Web Research is one of the best data mining outsourcing organizations having more than 17 years of experience in the market research industry. To know more information about our company please contact us.

Outsourcing Web Research is one of the best data mining outsourcing organizations having more than 17 years of experience in the market research industry.

Source: http://ezinearticles.com/?What-is-Data-Mining?-Why-Data-Mining-is-Important?&id=3613677

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

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/