An Easy Way For Data Extraction

There are so many data scraping tools are available in internet. With these tools you can you download large amount of data without any stress. From the past decade, the internet revolution has made the entire world as an information center. You can obtain any type of information from the internet. However, if you want any particular information on one task, you need search more websites. If you are interested in download all the information from the websites, you need to copy the information and pate in your documents. It seems a little bit hectic work for everyone. With these scraping tools, you can save your time, money and it reduces manual work.

The Web data extraction tool will extract the data from the HTML pages of the different websites and compares the data. Every day, there are so many websites are hosting in internet. It is not possible to see all the websites in a single day. With these data mining tool, you are able to view all the web pages in internet. If you are using a wide range of applications, these scraping tools are very much useful to you.

The data extraction software tool is used to compare the structured data in internet. There are so many search engines in internet will help you to find a website on a particular issue. The data in different sites is appears in different styles. This scraping expert will help you to compare the date in different site and structures the data for records.

And the web crawler software tool is used to index the web pages in the internet; it will move the data from internet to your hard disk. With this work, you can browse the internet much faster when connected. And the important use of this tool is if you are trying to download the data from internet in off peak hours. It will take a lot of time to download. However, with this tool you can download any data from internet at fast rate.There is another tool for business person is called email extractor. With this toll, you can easily target the customers email addresses. You can send advertisement for your product to the targeted customers at any time. This the best tool to find the database of the customers.

However, there are some more scraping tolls are available in internet. And also some of esteemed websites are providing the information about these tools. You download these tools by paying a nominal amount.

Source:http://ezinearticles.com/?An-Easy-Way-For-Data-Extraction&id=3517104

Achieving Sustainability in Mining

There's so much that our planet gives us for our consumption. These things come in different shapes and sizes, and some of the most abundant of them are minerals. Minerals are essential for living in these modern times, and when it comes to extracting them, mining is still the primary method used.

One of the biggest issues that any industry faces is sustainability, and the mining sector is certainly no exception to it. Some of the things that serve to constrain sustainability in this industry are the ever-increasing demand minerals, the consumption of resources that are needed to extract and process metals, as well as the pollution caused by the process of extracting them.

Increasing Demand for Minerals

There's no question that there's growth in the extraction of construction minerals. As more and more countries become more industrialized, the demand for such minerals is almost directly proportional to the growth in the construction industry. In the 20th century, we saw a growth in the extraction of construction materials. Demand for ores and industrial minerals also increased.

Impacts

Aside from the obvious impact mining has on the environment, it can also have a negative social impact. In order to keep up with the demand for mined resources, there's also a subsequent increase in mining activities to meet such demand. During the course of conducting such activities, there can be times when certain things are overlooked, including the short, medium and even long-term effects of mining activities in the community where they are done. This is then where there arises a need to balance the economic benefits of mining versus its potential harmful effects on the environment.

Sustainability and Maximizing Mining Benefits

There are ways to maximize the benefits we can get from mining as we improve sustainability both on the environmental and social fronts. This was specifically addressed in the Plan of Implementation of the World Summit on Sustainable Development. It identified three priority areas:

a. Support efforts to address the environmental, economic, health and social impacts and benefits of mining, minerals and metals throughout their life cycle;

b. Enhance the participation of stakeholders, including local and indigenous communities and women, to play an active role in minerals, metals and mining development throughout the life cycles of mining operations; and

c. Foster sustainable mining practices through the provision of financial, technical and capacity-building support to developing countries and countries with economies in transition for the mining and processing of minerals.

As long as efforts are made for mining to be environmentally, economically, and socially sustainable, we can enjoy the many benefits of mining without worrying about and suffering the potentially harmful effects mining can have on people and nature.

Source: http://ezinearticles.com/?Achieving-Sustainability-in-Mining&id=8108499

Data Mining and Financial Data Analysis

Introduction:

Most marketers understand the value of collecting financial data, but also realize the challenges of leveraging this knowledge to create intelligent, proactive pathways back to the customer. Data mining - technologies and techniques for recognizing and tracking patterns within data - helps businesses sift through layers of seemingly unrelated data for meaningful relationships, where they can anticipate, rather than simply react to, customer needs as well as financial need. In this accessible introduction, we provides a business and technological overview of data mining and outlines how, along with sound business processes and complementary technologies, data mining can reinforce and redefine for financial analysis.

Objective:

1. The main objective of mining techniques is to discuss how customized data mining tools should be developed for financial data analysis.

2. Usage pattern, in terms of the purpose can be categories as per the need for financial analysis.

3. Develop a tool for financial analysis through data mining techniques.

Data mining:

Data mining is the procedure for extracting or mining knowledge for the large quantity of data or we can say data mining is "knowledge mining for data" or also we can say Knowledge Discovery in Database (KDD). Means data mining is : data collection , database creation, data management, data analysis and understanding.

There are some steps in the process of knowledge discovery in database, such as

1. Data cleaning. (To remove nose and inconsistent data)

2. Data integration. (Where multiple data source may be combined.)

3. Data selection. (Where data relevant to the analysis task are retrieved from the database.)

4. Data transformation. (Where data are transformed or consolidated into forms appropriate for mining by performing summary or aggregation operations, for instance)

5. Data mining. (An essential process where intelligent methods are applied in order to extract data patterns.)

6. Pattern evaluation. (To identify the truly interesting patterns representing knowledge based on some interesting measures.)

7. Knowledge presentation.(Where visualization and knowledge representation techniques are used to present the mined knowledge to the user.)

Data Warehouse:

A data warehouse is a repository of information collected from multiple sources, stored under a unified schema and which usually resides at a single site.

Text:

Most of the banks and financial institutions offer a wide verity of banking services such as checking, savings, business and individual customer transactions, credit and investment services like mutual funds etc. Some also offer insurance services and stock investment services.

There are different types of analysis available, but in this case we want to give one analysis known as "Evolution Analysis".

Data evolution analysis is used for the object whose behavior changes over time. Although this may include characterization, discrimination, association, classification, or clustering of time related data, means we can say this evolution analysis is done through the time series data analysis, sequence or periodicity pattern matching and similarity based data analysis.

Data collect from banking and financial sectors are often relatively complete, reliable and high quality, which gives the facility for analysis and data mining. Here we discuss few cases such as,

Eg, 1. Suppose we have stock market data of the last few years available. And we would like to invest in shares of best companies. A data mining study of stock exchange data may identify stock evolution regularities for overall stocks and for the stocks of particular companies. Such regularities may help predict future trends in stock market prices, contributing our decision making regarding stock investments.

Eg, 2. One may like to view the debt and revenue change by month, by region and by other factors along with minimum, maximum, total, average, and other statistical information. Data ware houses, give the facility for comparative analysis and outlier analysis all are play important roles in financial data analysis and mining.

Eg, 3. Loan payment prediction and customer credit analysis are critical to the business of the bank. There are many factors can strongly influence loan payment performance and customer credit rating. Data mining may help identify important factors and eliminate irrelevant one.

Factors related to the risk of loan payments like term of the loan, debt ratio, payment to income ratio, credit history and many more. The banks than decide whose profile shows relatively low risks according to the critical factor analysis.

We can perform the task faster and create a more sophisticated presentation with financial analysis software. These products condense complex data analyses into easy-to-understand graphic presentations. And there's a bonus: Such software can vault our practice to a more advanced business consulting level and help we attract new clients.

To help us find a program that best fits our needs-and our budget-we examined some of the leading packages that represent, by vendors' estimates, more than 90% of the market. Although all the packages are marketed as financial analysis software, they don't all perform every function needed for full-spectrum analyses. It should allow us to provide a unique service to clients.

The Products:

ACCPAC CFO (Comprehensive Financial Optimizer) is designed for small and medium-size enterprises and can help make business-planning decisions by modeling the impact of various options. This is accomplished by demonstrating the what-if outcomes of small changes. A roll forward feature prepares budgets or forecast reports in minutes. The program also generates a financial scorecard of key financial information and indicators.

Customized Financial Analysis by BizBench provides financial benchmarking to determine how a company compares to others in its industry by using the Risk Management Association (RMA) database. It also highlights key ratios that need improvement and year-to-year trend analysis. A unique function, Back Calculation, calculates the profit targets or the appropriate asset base to support existing sales and profitability. Its DuPont Model Analysis demonstrates how each ratio affects return on equity.

Financial Analysis CS reviews and compares a client's financial position with business peers or industry standards. It also can compare multiple locations of a single business to determine which are most profitable. Users who subscribe to the RMA option can integrate with Financial Analysis CS, which then lets them provide aggregated financial indicators of peers or industry standards, showing clients how their businesses compare.

iLumen regularly collects a client's financial information to provide ongoing analysis. It also provides benchmarking information, comparing the client's financial performance with industry peers. The system is Web-based and can monitor a client's performance on a monthly, quarterly and annual basis. The network can upload a trial balance file directly from any accounting software program and provide charts, graphs and ratios that demonstrate a company's performance for the period. Analysis tools are viewed through customized dashboards.

PlanGuru by New Horizon Technologies can generate client-ready integrated balance sheets, income statements and cash-flow statements. The program includes tools for analyzing data, making projections, forecasting and budgeting. It also supports multiple resulting scenarios. The system can calculate up to 21 financial ratios as well as the breakeven point. PlanGuru uses a spreadsheet-style interface and wizards that guide users through data entry. It can import from Excel, QuickBooks, Peachtree and plain text files. It comes in professional and consultant editions. An add-on, called the Business Analyzer, calculates benchmarks.

ProfitCents by Sageworks is Web-based, so it requires no software or updates. It integrates with QuickBooks, CCH, Caseware, Creative Solutions and Best Software applications. It also provides a wide variety of businesses analyses for nonprofits and sole proprietorships. The company offers free consulting, training and customer support. It's also available in Spanish.

Source: http://ezinearticles.com/?Data-Mining-and-Financial-Data-Analysis&id=2752017

Online Retail - Mining for Gold

Online retailers live in an ever-changing environment, and the ability to stay competitive is the difference between doing well and doing nothing. In today's fast paced internet market place, if you aren't using web scraping, you are missing a key component to growing your business.

Data Mining

Data mining your competition's prices and services and making sure your prices and services are similar, or even lower, is what makes the difference. Why should your customer choose you if they can get the same product somewhere else for less? What data you collect and how often you update it is also another key ingredient to success.

Extract Website Data

Web scraping allows you to gather information from your competition and use it improve your position in the market. When you extract website data from your competitor's website, it allows you to conduct business from a position that doesn't involve guess work. The internet is an environment that is constantly being updated and changed. It is vital that you have the ability to have up-to-date information on what others in your market are doing. If you can't do this, you really can't compete.

Application of Information

When you know what your competitors are doing all the time, you can keep your business a little more competitive than they are. When you have information such as monthly and even weekly price variations in the market and what products and services are being offered, you can apply that information to your own pricing matrix and ensure a competitive edge in your market.

An Army of One

Web scraping gives you the ability to see what is going on in the market at all times. You can monitor just about anything you choose with a web scraping service. Many online retailers are very small operations and they don't have the resources to constantly monitor each competitor's website - so engaging a web scraping service is like having your own marketing and research team working for you night and day to keep tabs on them. You choose what it is you want to know, and your research team goes to work. Simple.

Staying Ahead of Trends

Having the ability to recognize trends is the key to any business, especially on the internet were information is so fluid. The business that can identify a trend quickly and take advantage of it will always stay one step ahead. That's why big corporations have teams dedicated to researching market trends and predictions. If you can see where something is going, you can always get ahead of it. That's what web scraping can help you do - identify those trends in your market so you can get in ahead of the pack.

A Helping Hand

Sometimes running your own online retail business can be a daunting and lonely ordeal. Even those that have a great deal of experience with the internet can feel lost at times. A web scraping service is a tool you can use to help yourself in such times. Web scraping is automated and precise, and it gives you the ability to have vital information delivered to you in a manner you can understand and use. It's one less thing to worry about - and the information you get from data mining is what every business owner actually should worry about - what the competition is doing? With a web scraping service, you can concern yourself with other things - like making more profits.

Source: http://ezinearticles.com/?Online-Retail---Mining-for-Gold&id=6531024

Commercial Kitchen Ventilation and Extraction - What You Need to Know

There are a number of things to consider when installing commercial kitchen ventilation and there are several different types of systems available - but all must comply with the "Standard for kitchen ventilation systems DW172". A commercial kitchen cannot operate effectively without a properly designed and functioning ventilation system. Getting the design of the correct system for YOUR premises can be complex. All systems are operation and site specific - how you move the air, where you move it to and what you have to do with it to ensure compliance not only with the relevant legislation, but also any local building and environmental constraints.

The factors that may need to be addressed include not only physically moving the air, but heat, humidity, smoke, fire, grease and odour. There are various filter and safety systems available that deal with any or all of these issues and the best system for you will depend on your site, its surroundings and your budget. You may also have to deal with noise from the fan(s) and any planning issues relating to external ducting.

In basic terms a ventilation system comprises a canopy over the production area with a fan linked by ducting to a filter bank within the kitchen extraction canopy which draws the air out to the external exhaust point. The fan is sized in direct relation to the amount of air that has to be moved, where it has to be moved to (the exhaust point) and how quickly (depending on the type of food being cooked).

In addition, mechanical provision must be made to replace 85% of the air that is being extracted. This is called "Make up Air", the other 15% is made up by natural means - general kitchen areas and windows etc.

Within the design, careful consideration must also be given to ensure adequate access for cleaning of the duct and servicing of the fans.

If the production equipment is gas, in accordance with British Standard (BS6173) you will have to fit a Gas Interlock system. This system automatically shuts off the gas supply to the cooking equipment in the event of a failure in the ventilation system.

You may also want to consider the installation of a Heat Recovery unit which reclaims the heat (and some of the fuel cost) from your kitchen that would normally be blasted straight out through from your extracton canopy.

Source:http://ezinearticles.com/?Commercial-Kitchen-Ventilation-and-Extraction---What-You-Need-to-Know&id=6438003

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/