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

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

CSR in the Extraction Sector

A study commissioned by the Canadian Mining industry found that Canadian mining companies were involved in 4 times as many mining "incidents" as companies from other countries. The study was intended for internal consumption only but has been leaked to the press recently. The study found that Canadian mining companies were involved in nearly two thirds of the 171 "high profile" environmental and human rights violations it studied occurring between 1999 and 2009. Members of the mining industry pointed out that the occurrences are in proportion to their representation on the global mining scene, indicating that they were no better or worse than companies from other countries.

First some background on the study. The study findings were captured in a report titled "Corporate Social Responsibility & the Canadian International Extractive Sector: A Survey". The report was prepared for the Prospectors and Developers Association of Canada (PDAC) by the Canadian Centre for the Study of Resource Conflict (CCSRC). The purpose of the study was to measure the level of Corporate Social Responsibility (CSR) in the "extractive" sector. The extractive sector, for those of us untutored in the terminology means exploration, gas, oil, and mining companies. The document leaked to the press was a first draft of the report, not the final draft. I should also mention that there is a bill, C-300, before the Canadian parliament which would make financing for foreign ventures contingent on meeting federally defined CSR standards. The exploration, gas, oil, and mining companies, and the organizations which represent them are very much against this bill. Leaking the negative aspects of this report was fortuitous for those in support of bill C-300 and disastrous for those opposed to it.

One of the observations the report makes is that adoption of formal CSR policies by companies with international interests is "remarkably low", but that those companies which have adopted CSR policies have experienced positive outcomes. The CCSRC contacted 584 companies which they felt met their criteria to participate in the study. Of those, 202 chose to participate. The first survey question was "Do you have a CSR policy or Code of International Business Conduct?" 56 of the 202 companies had documented policies in place. The study broke the 202 companies they surveyed into "junior" and "major" companies. 50% of the companies designated as major had documented CSR policies while only 21% of junior companies had one.

The survey also asked about the positive effects of a CSR policy. 24% of respondents claimed a reduction in conflicts or complications, 62% claimed better community relations (relations with the communities they were doing business in), and 25% reported increased shareholder interest. On the downside, 24% reported increased administration costs and 25% reported increased operating costs. One question they failed to ask was whether the benefits outweighed the costs.

The information I've stated in the preceding 2 paragraphs was gleaned from the final draft of the report. I don't have access to the first draft but apparently it described some of the 171 violations they were addressing in the study. I reported on one such violation in Project Management Tips section of this web site under the title "CSR Problems". The incidents reported on reflect the difficulty faced by companies who conduct business in some international locations. These incidents juxtapose our Canadian values and ethics with those of the countries our exploration, gas, mining, and oil companies do business in. One incident reported on, and attributed to the mining company's lack of CSR by the media, pitted one host community against another with the resulting violence blamed on the Canadian mining company. I'm not suggesting here that these companies have not made mistakes in the past, or that improvements cannot be made in their CSR efforts, I am suggesting that we should have realistic expectations about the effectiveness of a CSR policy to prevent any problems in a foreign venture.

A reasonable expectation in some cases would be that the company have a documented CSR policy which conforms to the standards and ethics of this country (Canada), abides by the laws of the host country, and conforms to the standards and ethics of the host country. The expectation should be tempered with the acknowledgment that the operating environment these companies encounter in host countries can be radically different than that found here. For example, when one community is in conflict with another over whether a mining operation should take place, we tend to look to non-violent forms of dispute resolution where some countries may resort to extreme violence to settle the dispute. Canadian companies frequently hire locals as security guards to protect their property as local authorities cannot perform this duty for one reason or another. It is reasonable to expect the hiring company to do its due diligence in hiring these people to ensure they don't create a threat to the surrounding community. It is not reasonable to expect that there will be no conflicts arising out of these situations. Where it is suspected that a security guard overstepped their authority, or engaged in illegal behaviour, it is reasonable to expect the employer to cooperate with the local authorities in the investigation.

North American companies doing business internationally have long had to deal with conflicts between acceptable corporate behaviour in their own country and acceptable behaviour in the host country. Bribery is the classic example. There are countries where bribery is not only accepted but essential to conducting business. Our laws will convict anyone proved to have offered a bribe but failure to pay the bribe may result in a failure to perform on the part of the North American company. Failure to perform might result in the loss of all or part of the company's investment in the project. Holding a company to this type of double standard can only result in one of 2 outcomes: the company will break the rule against bribery, or the company will cease to do business in that host country.

Since this web site is aimed at the project management community, let's draw some conclusions from the survey and CSR in general that may help project managers. The first conclusion I would draw from all of the above is that the CSR policy that governs your project must describe achievable goals. By this I mean that the goals, objectives, and standards stated in the policy must be within the project's power to achieve, or comply with. The second conclusion is that the right CSR policy carefully implemented can provide a business benefit to the organization. It is the project manager's job to ensure that those benefits are realized.

The goals and objectives of the project must include goals and objectives in support of the CSR policy. Those goals and objectives should be spelled out in the Project Charter and the connection between those goals and objectives and the CSR policy clearly defined. Make sure that the CSR related goals and objectives you set for the project are clearly defined, measurable, and obtainable and then agree with your stakeholders on the conditions that will indicate the goals have been met. Check for CSR policy goals and objectives that might conflict with each other and any of your project's goals and objectives, both CSR related and non-CSR. Goals and objectives you feel might conflict with each other, or with the CSR policy should be resolved by senior management. Start your escalation by drawing the project sponsor's attention to the conflict and ask for their help with resolution.

Source: http://ezinearticles.com/?CSR-in-the-Extraction-Sector&id=5675024

The Equipment Used in Mining

Bureau of Labor statistics reported that there are five major segments in the mining industry. They are gas and oil extracting, coal mining, non-metal mineral mining, metal ore mining and the supporting activities. In this matter, each segment might need different equipment. But, there are some types of mining equipment that are used by all segments of the mining industry.

Excavators

Excavators are types of equipment that are used by the miners to break and remove soil today. Traditionally, they used steam shovels and shovels to do the jobs. An excavator is a vehicle that moves with standard wheels or moves on tracks. There is a rotating platform and a bucket to its end for digging the soil.

Draglines

Draglines are very big earth moving machines that are used in mining industry. These machines are used to expose the underlying mineral deposits. These are also used to drag away the dirt. The Kentucky Coal Education said that draglines are one of the largest machine in the world. These can remove several hundred tons of the material in one pass.

Drills

Drills are very important for miners that extract natural gas and oil. Miners use these machines to reach underground deposits before they pipe the resources to the surface. Instead of being used in gas and oil mining, these machines are also used to mine coal and mineral.

Roof bolters

These machines are used to prevent underground collapses when the mining process is in progress. These are also used to support the tunnel roofs in mining location.

Continuous miners and longwall miners

These machines are usually used by subterranean coal miners. These machines are used to scrape coal from the coal beds. Meanwhile, the longwall miners are machines that are used to remove large, rectangular sections of coal instead of scraping coal from a bed.

Rock duster

These are pressurized pieces of equipment that are used in coal mining to spray inert mineral dust over the highly flammable coal dust. This inert dust will help prevent accidental explosions and fires.

Source:http://ezinearticles.com/?The-Equipment-Used-in-Mining&id=5633103

Junk Car Removal Services: Lucrative Way to Bid Farewell to Scrap Cars

Are your still wondering if it is the time to call a junk car removal company?

Well, you should call a reliable scrap car removal company, when any one of the below situations is true:

- Your car has a very low trade-in value

- Despite repeated repairs, your car is not working well.

- The vehicle has been in an accident and declared a total loss.

- When you think of selling it, you hardly find any positive points to sell it for a substantial price.

- Your car has become a stationary object.

There are many important benefits of hiring scrap car removal services

- Get a good amount of cash

It may come as a surprise, but your useless car can fetch you a handsome sum. The junk car removal companies will always find something worthy of attention in your piece of junk. In fact, these companies have numerous uses for your car.

They can repair and reuse the broken-down parts of the cars. In case, your entire car has turned into scrap then too, you should contact a junk car removal company. It will save you from being duped.

These companies have experts, who can find multiple utilities for your car and quote a suitable price, accordingly.

If you try to sell your car to a scrap dealer, then you will get the price of scrap and not of the car.

- Sell any model from anywhere

A junk car removal company will never be choosy regarding the make of the car. Other alternatives like the towing companies have a definite list of models of cars that they tow. In case your vehicle does not belong in the list, then they will refuse you out rightly.

Moreover, towing companies do not have the expertise or equipment to work under challenging situations. For instance, if your scrap car has been parked for long and is stuck in debris, then a towing company may not be able to help you.

On the other hand, a junk car removal company is well equipped with work force, and the latest technology to deal with every situation.

It will reach your junk car and tow it away. When you call them for fixing an appointment, they will ask you what the destination of the car is. Provide them with the details. Then, just wait for them to arrive and help you in getting rid of the scrap.

You may have the latest model or an old one, if your car is not living up to your standards, then it is time to call the junk car removal company.

- Fix timing at your convenience and receive prompt services

When you have decided to sell your junk car to a company, you can enjoy the liberty of carrying out the transaction any time you want.

Yes, being the owner of the car, you are free to decide the timing of its pick-up. The scrap car-removal companies are very particular regarding timings.

- Environment-friendly option

The junk car removal companies adopt an earth-friendly approach while getting rid of the junk cars. A trash car pollutes the environment by releasing harmful gases. The companies ensure that every car that it has picked goes through several levels of checks.

During the process, all the parts, which can be reused in any form, are extracted and recycled. Only those parts, which cannot be put into use, in any form, are taken to the junk yard.

Thus, by opting for a scrap car removal company, you are saving the environment and helping in keeping your surroundings clean and healthy.

Source: http://ezinearticles.com/?Junk-Car-Removal-Services:-Lucrative-Way-to-Bid-Farewell-to-Scrap-Cars&id=7206487

Dear Donna: Tread Lightly When Suggesting 'Man-Scaping'

Dear Donna,

A man I recently began dating needs some "man-scaping." I would find him much more appealing if he trimmed the hair in his ears and nose and on the back of his neck. He has hinted that he is buying me something for Valentine's Day. Do you think it would be appropriate to buy him a gift certificate to a spa and tell him he could benefit from some "man-scaping?" - Anonymous

Dear Anonymous,

Since Valentine's Day is about love and romance, I would not put the focus on "man-scaping" by buying him a gift certificate to a spa. There is no easy, tactful way to suggest to someone that they do something about ear and nose hair. One day when you are sitting close to him, whisper in his ear, "I think you could use some "man-scaping." After you explain what "man-scaping" is, be ready with the card to the spa.

Dear Donna,

I am in my 40s, single and dating for the past five years. I meet men mostly through friends, work and online. The last two men I met assumed we would split the bill after lunch or dinner. The first one caught me off guard so I paid. I also immediately decided I would not see him again. The second added up my half of the bill and asked me what kind of tip I thought was appropriate. I told him I thought he should pay, and the date went downhill from there. Whatever happened to the gentleman pays? - Sarah

Dear Sarah,

This is a side effect of online dating. When you are meeting multiple women, it can be expensive to always be the one paying. If you are meeting someone for the first time, keep it simple. Agree to meet for one hour and not over lunch or dinner. Most men do not expect a lady to split the cost of a cup of coffee or a glass of wine. Bottom line, if he is interested in you, he gladly will pay.

Source:http://gazette.com/dear-donna-tread-lightly-when-suggesting-man-scaping/article/1545611

The Trouble With Bots, Spiders and Scrapers

With the Q4 State of the Internet - Security Report due out later this month, we continue to preview sections of it.

Earlier this week we told you about a DDoS attack from a group claiming to be Lizard Squad. Today we look at how
third-party content bots and scrapers are becoming more prevalent as developers seek to gather, store, sort and present
a wealth of information available from other websites.

These meta searches typically use APIs to access data, but many now use screen-scraping to collect information.

As the use of bots and scrapers continues to surge, there's an increased burden on webservers. While bot behavior is
mainly harmless, poorly-coded bots can hurt site performance and resemble DDoS attacks. Or, they may be part of a rival's competitive intelligence program.

Understanding the different categories of third-party content bots, how they affect a website, and how to mitigate their impact is an important part of building a secure web presence.

Specifically, Akamai has seen bots and scrapers used for such purposes as:

•    Setting up fraudulent sites
•    Reuse of consumer price indices
•    Analysis of corporate financial statements
•    Metasearch engines
•    Search engines
•    Data mashups
•    Analysis of stock portfolios
•    Competitive intelligence
•    Location tracking

During 2014 Akamai observed a substantial increase in the number of bots and scrapers hitting the travel, hotel and hospitality sectors. The growth in scrapers targeting these sectors is likely driven by the rise of rapidly developed mobile apps that use scrapers as the fastest and easiest way to collect information from disparate websites.

Scrapers target room rate pages for hotels, pricing and schedules for airlines. In many cases that Akamai investigated, scrapers and bots made several thousand requests per second, far in excess of what can be expected by a human using a web browser.

An interesting development in the use of headless browsers is the advent of companies that offer scraping as a service, such as PhantomJs Cloud. These sites make it easy for users to scrape content and have it delivered, lowering the bar to entry and making it easier for unskilled individuals to scrape content while hiding behind a service.

For each type of bot, there is a corresponding mitigation strategy.

The key to mitigating aggressive, undesirable bots is to reduce their efficiency. In most cases, highly aggressive bots are only helpful to their controllers if they can scrape a lot of content very quickly. By reducing the efficiency of the bot through rate controls, tar pits or spider traps, bot-herders can be driven elsewhere for the data they need.

Aggressive but desirable bots are a slightly different problem. These bots adversely impact operations, but they bring a benefit to the organization. Therefore, it is impractical to block them fully. Rate controls with a high threshold, or a user-prioritization application (UPA) product, are a good way to minimize the impact of a bot. This permits the bot access to the site until the number of requests reaches a set threshold, at which point the bot is blocked or sent to a waiting room. In the meantime, legitimate users are able to access the site normally.

Source: https://blogs.akamai.com/2015/01/performance-mitigation-bots-spiders-and-scrapers.html

Application of Web Data Mining in CRM

The process of improvising the customer relations and interactions and making them more amicable may be termed as Customer relationship management (CRM). Since web data mining is used in the utilization of the various modeling and data analysis methods in detecting given patterns and relationships in the data, it can be used as an effective tool in CRM. By the effectively using web data mining you are able to understand what your customers what.

It is important to note that web data mining can be used effectively in searching for the right and potential customers to be offered the right products at the right time. The result of this in any business is the increase in the revenue generated. This is made possible as you are able to respond to each customer in an effective and efficient way. The method further utilizes very few resources and can be therefore termed as an economical method.

In the next paragraphs we discuss the basic process of customer relationship management and its integration with web data mining service. The following are the basic process that should be used in understanding what your customers need, sending them the right offers and products, and reducing the resources used in managing your customers.

Defining the business objective. Web data mining can be used to define and inform your customers your business objective. By doing research you can be able to determine whether your business objective is communicated well to your customers and clients. Does your business objective take interest in the customers? Your business goal must be clearly outlined in your business CRM. By having a more precise and defined goal is the possible way of ensuring success in the customer relationship management.

Source: http://www.loginworks.com/blogs/web-scraping-blogs/application-web-data-mining-crm/

Data Mining Services in various types

How Companies Can the Most with Data Mining Services

The modern way to use data, effectively.

Data Mining is an act of transferring data into beneficial Information and actionable insight. Often known as Knowledge Discovery in Databases (KDD), Data Mining is a automated process to uncover a series of never-seen-before information in bulk quantities of data scenario. Post evaluating a series of random factors, which the human mind cannot easily look at or comprehend, it helps in reaching towards an actionable insight by means of progressive mathematical algorithms. These data mining reports are further distributed among esteemed influencers and stakeholders, and are used for enterprise-caliber data mining observations in an insightful manner.

The Process of Data Mining

Here’s a lowdown of a few used cases of how companies are using Data Mining Services in business: ASSOCIATION: Catching hold of frequently appearing observations. For instance, if you want to know which products are regularly purchased in pair, and could be offered together in a combo offer to boost sales.

CLASSIFICATION: Allowing the Data Mining experts at LoginWorks Software to attach observations towards repeated financial patterns of existing groups or categories. For instance, spotting fraudulent transactions or possibly bankrupt companies.

CLUSTERING:Identifying similarities and common ground between observations and groups. For instance, creating profiles for website users or clients by mapping website usage pattern and customer behavior.

DESCRIPTION:Detailing out patterns and showcasing them in a visual manner using explanatory analysis.

ESTIMATION: Revealing features that are difficult to observe with a straight-lined approach because of cost of observation or technical problems. PREDICTION: Predicting an estimated future using previous and present observations. for examples, predicting sales for the next financial period.

What are the Strategic Benefits of Incorporating Data Mining

A Comprehensive suite of Data Mining Services can help your company to:

•    Iron out strategic business problems with the use of number crunching, predictive and inferential analysis.

•    Recuperate your data mining atmosphere by making use of advanced algorithms, artificial neural networks, induction techniques, along with in-data and base-data mining technologies.

•    Automate business trends, understand human behavior and patterns predictions.

•    Do away with complexities of difficult-to-comprehend statistics and, need not necessarily require users to make use of complex applications/interface. Instead, we deliver compact results in the form of touch points, such as Excel, CSV, XML, text file and more.

•    Achieve high-end connectivity and communication capabilities.

The Power of LOGINWORKS Data Mining Services.

LOGINWORKS SOFTAWARES Data Mining Service is an advanced solution for predictive analytics designed to help companies in their strategic decision making. An ongoing process of discovery and interpretation, data mining unearths new and reliable patterns in your accumulated data and patterns, which you can make use of to adhere to testing business questions that calls for constant prediction and inference. With the ever evolving increase of business complexities, as well as the quantity and multiplicity of data, there’s a buzzing need for methods that are intelligently mechanical in nature and are backed by LOGINWORKS SOFTAWARES’ expert support; and data mining that fits the need of today’s businesses aptly. By and large, predictive data mining services makes use of pattern recognition technologies and statistical tools to help accelerate strategic business decisions and lead to more informed conversations with the target audience.

What is offered in our Data Mining Service.

•    First stage of discussion and estimating future direction: If your company would like to gain a competitive edge from our high-calibre Data Mining Services, do get in touch with our sales team at sales@loginworks.com so as to help you in understanding the most advanced benefits and opportunities.

•    Sharing feasibility statistics and studies: If you or your company has a clear view point of how you would want to make use of Data Mining in your flow of business, then do share with us your requirement to ask for a quote.

•    Segmentation and Profitability: Right from assessing the initial assessment to assessing the benefits and completing the data, we’ll share with you a comprehensive report on understanding of data needs.

•    The Final Stage: Data Mining Implementation Service: As soon as the Data Mining requirement is clearly undertstood, we build customized solutions to collect data in an automated fashion and export structured data into usable format.

BIG DATA SOLUTIONS AND SERVICES

Big data swiftly harnesses the ever-increasing volume on data on day-to-day basis and the incessant need of enterprisers to harness the true business value of such data in a quick turnaround time. Opening gates to a world of opportunities to find new and insightful calculations, Big Data can be generated at a variety of myriad speeds and types. This data further lends organizations, especially the burgeoning e-commerce industry of today, a competitive advantage, where estimated predictions becomes the bedrock of constant in-flow of costs and revenue.

LOGINWORKS SOFTWARES BIG DATA ADVANTAGE

Unearth the power of the accumulated data by making significant inroads into the digital revolution of 21st century. Leverage the advantage by using LOGINWORKS SOFTWARES end-to-end Big Data Solutions and Services. Our passion, backed with years of domain expertise and rich technical prowess empowers you to outline a Big Data strategy for your business to help uplift your overall IT roadmap, architect and re-imagine your business strategies. With us, you get the following services: Our all-encompassing  THINK, DEVELOP AND IMPLEMENT model for Big Data Services aids you to pick up the best strategies to adopt and use data. Our principle areas of focus for Big Data services are:

•    Big Data Management for the IT Organization
•    Big Data Analytics for the Business Organization

*change the Think, Build and Operate Model headline with THINK, DEVELOP AND IMPLEMENT model. big data process chart LOGINWORKS SOFTWARES Data Mining Services, also known as Loginworks DataStream is a perfect amalgamation of unlimited volumes, robust technology and matchless expertise. What sets up apart is our one-of-a-kind personalised approach, which makes use of optimal data warehouse technology. IF YOU ARE READY TO TAKE THE ADVANTAGE OF DATA MINING AND BOOST YOUR BUSINESS

– CONTACT LOGINWORKS SOFTWARES TODAY!

Source: http://www.loginworks.com/blogs/web-scraping-blogs/data-mining-services-various-types/