Monday, 26 January 2015

Get Yourself Out Of A Scrape With Free Online Translation Tools

Most people who have been abroad or who at some stage have studied other languages tend to think of themselves as fair linguists. Granted, whilst abroad, they may very well be able to order lunch and refreshments and converse on a basic level, however, when faced with written documentation, they very often find their ability somewhat lacking.

The problem is that when speaking to someone in person, very often the context of the conversation with possibly a few accompanying hand gestures, generally overrides any deficiencies in vocabulary or grammar. When you actually see a language written grammatically though, simple conjugations often change recognised verbs, into something quite alien.

Faced then, with (usually important) documents from abroad, most people find themselves in a bit of a fix.

Luckily, the answer is easily within reach - you can easily access free translations online.

A cursory scan of any of the major search engines on the internet will come up with a great many free online translation sites. They are all very easy to use and it's really just a matter of typing in the desired word or phrase, selecting the source language and the target language and then pressing a button.

These free online translation tools, can be a real boon. They will literally translate whatever you put into them and can certainly give you a basic understanding of what a foreign document is trying to relate.

What they won't do, however, is give you a clear and precise translation because they literally translate word for word, the result will not be grammatical and will not necessarily make sense without having to piece together the text and frame it in the context of the subject matter.

Following the link above, however, will take you to a compilation of the best free translation resources. There is good reason to visit a site with a variety of translation engines. Every engine is slightly different and by having the use of more than one resource, you will be able to easily cross-check any words or phrases that don't quite come out sensibly. It's always good to have a fall back and It might just get you out of a real scrape.

One word of advice though: if the translations that you need to undertake are at all important to your company's business, or a mistranslation could have serious ramifications on your business were they to be at fault. You should always engage a professional translation company. Ultimately, there is nothing like a human translator to make perfect sense out of a linguistic muddle!

Source: http://ezinearticles.com/?Get-Yourself-Out-Of-A-Scrape-With-Free-Online-Translation-Tools&id=706676

Friday, 23 January 2015

How to Deal with Content Scrapers

There are few approaches that people take when dealing with content scrapers. The Do Nothing Approach, Kill them all approach, Take Advantage of them approach.

The Do Nothing Approach

This is by far the easiest approach you can take. Usually the most popular bloggers would recommend this because it takes A LOT of time fighting the scrapers. This approach simply recommends that “instead of fighting them, spend your time producing even more quality content and having fun”. Now obviously if it is a well-known blog like Smashing Magazine, CSS-Tricks, Problogger, or others, then they do not have to worry about it. They are authority sites in Google’s eyes.

However during the Panda Update, we know some good sites got flagged as scrapers because google thought their scrapers were original content. So this approach is not always the best in our opinion.

Kill them all Approach

The exact opposite of the “Do Nothing Approach”. In this approach, you simply contact the scraper and ask them to take the content down. If they refuse to do so or simply do not reply to your requests, then you file a DMCA (Digital Millennium Copyright Act) with their host. In our experience, majority of the scraping websites do not have a contact form available. If they do, then utilize it. If they do not have the contact form, then you need to do a Whois Lookup.

Whois Lookup

You can see the contact info on the administrative contact. Usually the administrative, and technical contact is the same. The whois also shows the domain registrar. Most well-known web hosting companies and domain registrars have DMCA forms or emails. You can see that this specific person is with Hostgator because of their nameservers. HostGator has a form for DMCA complaints. If the nameserver is something like ns1.theirdomain.com, then you have to dig deeper by doing reverse IP lookups and searching for IPs.

You can also use a third party service for DMCA.com for takedowns.

Jeff Starr in his article suggest that you should block the bad guy’s IPs. Access your logs for their IP address, and then block it with something like this in your root .htaccess file:

1    Deny from 123.456.789

You can also redirect them to a dummy feed by doing something like this:

1    RewriteCond %{REMOTE_ADDR} 123\.456\.789\.

2    RewriteRule .* http://dummyfeed.com/feed [R,L]

You can get really creative here as Jeff suggests. Send them to really large text feeds full with Lorem Ipsum. You can send them some disgusting images of bad things. You can also send them right back to their own server causing an infinite loop which will crash their site.

The last approach that we take is to take Advantage of them.

Source:http://www.wpbeginner.com/beginners-guide/beginners-guide-to-preventing-blog-content-scraping-in-wordpress/

Tuesday, 20 January 2015

Customer Relationship Management (CRM) Using Data Mining Services

In today's globalized marketplace Customer relationship management (CRM) is deemed as crucial business activity to compete efficiently and outdone the competition. CRM strategies heavily depend on how effectively you can use the customer information in meeting their needs and expectations which in turn leads to more profit.

Some basic questions include - what are their specific needs, how satisfied they are with your product or services, is there a scope of improvement in existing product/service and so on. For better CRM strategy you need a predictive data mining models fueled by right data and analysis. Let me give you a basic idea on how you can use Data mining for your CRM objective.

Basic process of CRM data mining includes:

1. Define business goal
2. Construct marketing database
3. Analyze data
4. Visualize a model
5. Explore model
6. Set up model & start monitoring

Let me explain last three steps in detail.

Visualize a Model:

Building a predictive data model is an iterative process. You may require 2-3 models in order to discover the one that best suit your business problem. In searching a right data model you may need to go back, do some changes or even change your problem statement.

In building a model you start with customer data for which the result is already known. For example, you may have to do a test mailing to discover how many people will reply to your mail. You then divide this information into two groups. On the first group, you predict your desired model and apply this on remaining data. Once you finish the estimation and testing process you are left with a model that best suits your business idea.

Explore Model:

Accuracy is the key in evaluating your outcomes. For example, predictive models acquired through data mining may be clubbed with the insights of domain experts and can be used in a large project that can serve to various kinds of people. The way data mining is used in an application is decided by the nature of customer interaction. In most cases either customer contacts you or you contact them.

Set up Model & Start Monitoring:

To analyze customer interactions you need to consider factors like who originated the contact, whether it was direct or social media campaign, brand awareness of your company, etc. Then you select a sample of users to be contacted by applying the model to your existing customer database. In case of advertising campaigns you match the profiles of potential users discovered by your model to the profile of the users your campaign will reach.

In either case, if the input data involves income, age and gender demography, but the model demands gender-to-income or age-to-income ratio then you need to transform your existing database accordingly.

For any queries related to Data mining CRM applications, please feel free to contact us. We would be pleased to answer each of your queries in detail.

Source:http://ezinearticles.com/?Customer-Relationship-Management-%28CRM%29-Using-Data-Mining-Services&id=4641198

Thursday, 8 January 2015

Data Mining - Techniques and Process of Data Mining

Data mining as the name suggest is extracting informative data from a huge source of information. It is like segregating a drop from the ocean. Here a drop is the most important information essential for your business, and the ocean is the huge database built up by you.

Recognized in Business

Businesses have become too creative, by coming up with new patterns and trends and of behavior through data mining techniques or automated statistical analysis. Once the desired information is found from the huge database it could be used for various applications. If you want to get involved into other functions of your business you should take help of professional data mining services available in the industry

Data Collection

Data collection is the first step required towards a constructive data-mining program. Almost all businesses require collecting data. It is the process of finding important data essential for your business, filtering and preparing it for a data mining outsourcing process. For those who are already have experience to track customer data in a database management system, have probably achieved their destination.

Algorithm selection

You may select one or more data mining algorithms to resolve your problem. You already have database. You may experiment using several techniques. Your selection of algorithm depends upon the problem that you are want to resolve, the data collected, as well as the tools you possess.

Regression Technique

The most well-know and the oldest statistical technique utilized for data mining is regression. Using a numerical dataset, it then further develops a mathematical formula applicable to the data. Here taking your new data use it into existing mathematical formula developed by you and you will get a prediction of future behavior. Now knowing the use is not enough. You will have to learn about its limitations associated with it. This technique works best with continuous quantitative data as age, speed or weight. While working on categorical data as gender, name or color, where order is not significant it better to use another suitable technique.

Classification Technique

There is another technique, called classification analysis technique which is suitable for both, categorical data as well as a mix of categorical and numeric data. Compared to regression technique, classification technique can process a broader range of data, and therefore is popular. Here one can easily interpret output. Here you will get a decision tree requiring a series of binary decisions.

Our best wishes are with you for your endeavors.

Source:http://ezinearticles.com/?Data-Mining---Techniques-and-Process-of-Data-Mining&id=5302867

Friday, 2 January 2015

Excellent Data Scraping Services Of Datascrapingservices.us

Data Scraping is a process in which different web sites or other sources to gather relevant information. Data Scraping services to gather important information to organizations that helped a lot of decisions and marketing strategies to help. Data Scraping services, even the companies that want a database of important information to help develop.

By applying Data Scraping services to organizations to increase profits, reduce risks and are able to identify scams. All important information you need to develop a database, Data Scraping can be very useful for you. It is a known fact that the most popular Internet tool is used to collect data, but it can be a time consuming task.

It is better for Data Scraping services, which vary according to your needs and all types of websites can collect data for any assignment. Bespoke web Data Scraping, data extraction services to various organizations are known as the offered services. You only company offering quality web services for data extraction should be carried out under the ethical approach.

Data Scraping Services can be defined as the process of retrieving data from a different source processes unstructured or store. Data extraction is very useful for large organizations that manage large amounts of data on a daily basis to be converted into information and stored for later use. Data extraction is a systematic way to extract and organize data from distributed and semi-structured electronic documents available online and in stores different data.

In business world today, very competitive, critical information, such as statistics on the number of customers and competitors use sales between the companies play an important role in policymaking. By signing the provider of Data Scraping, you can access data critical various sources, including websites, databases, images and documents.

We also provide Web data extraction services to retrieve data from web pages are included in the process involved. Web pages, HTML, XHTML, PHP, ASP, etc., for different languages, such as data from web pages are designed using scraps, all according to an API that is designed to extract data from web sites need help.

Web data extraction services relevant to the extent the research, and research companies have become the main activity of this day. The need for new companies to implement policies and strategies to stay informed with changing trends occur. The only possible efficient data extraction is done on a regular basis.

Data scraping can help you make strategic decisions that shape their business objectives. If your customer information and nuggets, the activities of its jurisdiction and determine the performance of your organization, it is very important information on hand at any time.

Scrape data from the software using the website is the proven process of extracting data from the web. The retrieved data for the world according to the wishes of all the important information such as the Internet can be used in various industries. We offer the best web software for data extraction. We have expertise and Web mining, the end view of knowledge, end screen, emails services, Data Scraping to extract capture the Internet.

So, whether you need to extract or scrape or want to mining text, images or any kind of data, you can rely on professional data extraction services provider, www.datascrapingservices.us for all your data mining and web data extracting and website data scraping requirements.

Source:http://www.articlesbase.com/outsourcing-articles/excellent-data-scraping-services-of-datascrapingservicesus-5336770.html