Boxofficemojo.com Data Scraping: April 2013

Saturday, 27 April 2013

Web Data Scraping Assuring Success with Proxy Services

They send their extensive network construction and large group for your product and business.

Have you ever heard of "data scraping?" Scraping Data scraping technology to new technology and a successful businessman who made his fortune by making use of the data.

Sometimes website owners automated harvesting of your data can not be happy. Webmasters tools or methods that the content of websites to find block certain IP addresses from using their websites to disallow web scrapers have learned to are ultimately left with is blocked.

Venus is a modern solution to the problem. Proxy data scraping technology solves the problem by using proxy IP addresses. Every time your data scraping program performs an output of a website, the website thinks that it comes from a different IP address. The owner of this website, the proxy data scraping only a short period of increased traffic from all over the world looks like. They are very limited and boring ways of blocking such a script, but more importantly - most of the time, but they will not know they are scraped.

Now you might be asking yourself, "I can get for my project where data scraping proxy technology?" "Do it yourself" solution, but unfortunately, not need to mention. The proxy server you choose to rent consider hosting providers, but that option is fairly pricey, but definitely better than the alternative is incredibly dangerous (but) free public proxy servers.

There is literally thousands of free proxy servers located all over the world that are very easy to use. But the trick is finding them. Many sites list hundreds of servers, but one that works to identify, access, and supports the type of protocol you need perseverance, trial and error, a lesson first, you do not know which server belongs to or what activities going on a server somewhere. Through a public proxy sensitive request or to send data is a bad idea.

Strategic decision Data web scraping techniques are important tools that provide relevant data and information for your personal or business use. Many companies, self-copying and pasting data from web pages. This process is very reliable, but very expensive, because it's a waste of time and effort to get results.

Today, various data mining companies and their websites effective web scraping technique specifically for the thousands of pages of information can crop developed. Information relating to a CSV file, database, XML file or other source with the required format is of correlations and patterns in the data, so that policies can be designed to make the decision to help. Information can also be stored for future use.

Text-based Web pages marked languages (HTML and XHTML) are made with, and often contain a wealth of useful information as was toolkits that Web content scraping made. A web scraper for an API to extract data from a website offer quality and affordable web data extraction application.

Source: http://www.selfgrowth.com/articles/web-data-scraping-assuring-success-with-proxy-services

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Delta Ray is experienced web scraping consultant and writes articles on Flixster.com Data Scraping, Rottentomatoes.com Data Scraping, Fandango.com Data Scraping, Moviefone.com Data Scraping, Boxofficemojo.com Data Scraping and Comingsoon.net Data Scraping etc.

Amazon’s IMDB Acquires Box Office Mojo; Will Add Box Office Data To Service

IMDB, the online movie information and community site owned by Amazon (NSDQ: AMZN), has done another acquisition: it has bought popular movie data site Box Office Mojo, for an undisclosed sum. The acquisition was completed earlier this summer, and with this, IMDB will add to its relatively sparse box office data figures, and Amazon may also integrate some of IMDB’s film and TV credits data on BOM.

BOM, founded in 1999, is a small three person operation HQed in Burbank, and will remain here. IMDB, meanwhile, has been bulking up of late: it bought an indie movie site last year, and has been adding more video to its site since this summer.

Source: http://paidcontent.org/2008/12/18/419-amazons-imdb-acquires-box-office-mojo-will-add-box-office-data-to-servi/

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Friday, 26 April 2013

Basics of Web Data Mining and Challenges in Web Data Mining Process

Today World Wide Web is flooded with billions of static and dynamic web pages created with programming languages such as HTML, PHP and ASP. Web is great source of information offering a lush playground for data mining. Since the data stored on web is in various formats and are dynamic in nature, it's a significant challenge to search, process and present the unstructured information available on the web.

Complexity of a Web page far exceeds the complexity of any conventional text document. Web pages on the internet lack uniformity and standardization while traditional books and text documents are much simpler in their consistency. Further, search engines with their limited capacity can not index all the web pages which makes data mining extremely inefficient.

Moreover, Internet is a highly dynamic knowledge resource and grows at a rapid pace. Sports, News, Finance and Corporate sites update their websites on hourly or daily basis. Today Web reaches to millions of users having different profiles, interests and usage purposes. Every one of these requires good information but don't know how to retrieve relevant data efficiently and with least efforts.

It is important to note that only a small section of the web possesses really useful information. There are three usual methods that a user adopts when accessing information stored on the internet:

• Random surfing i.e. following large numbers of hyperlinks available on the web page.
• Query based search on Search Engines - use Google or Yahoo to find relevant documents (entering specific keywords queries of interest in search box)
• Deep query searches i.e. fetching searchable database from eBay.com's product search engines or Business.com's service directory, etc.

To use the web as an effective resource and knowledge discovery researchers have developed efficient data mining techniques to extract relevant data easily, smoothly and cost-effectively.

Article Source: http://EzineArticles.com/4937441

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Data Mining in the 21st Century: Business Intelligence Solutions Extract and Visualize

When you think of the term data mining, what comes to mind? If an image of a mine shaft and miners digging for diamonds or gold comes to mind, you're on the right track. Data mining involves digging for gems or nuggets of information buried deep within data. While the miners of yesteryear used manual labor, modern data minors use business intelligence solutions to extract and make sense of data.

As businesses have become more complex and more reliant on data, the sheer volume of data has exploded. The term "big data" is used to describe the massive amounts of data enterprises must dig through in order to find those golden nuggets. For example, imagine a large retailer with numerous sales promotions, inventory, point of sale systems, and a gift registry. Each of these systems contains useful data that could be mined to make smarter decisions. However, these systems may not be interlinked, making it more difficult to glean any meaningful insights.

Data warehouses are used to extract information from various legacy systems, transform the data into a common format, and load it into a data warehouse. This process is known as ETL (Extract, Transform, and Load). Once the information is standardized and merged, it becomes possible to work with that data.

Originally, all of this behind-the-scenes consolidation took place at predetermined intervals such as once a day, once a week, or even once a month. Intervals were often needed because the databases needed to be offline during these processes. A business running 24/7 simply couldn't afford the down time required to keep the data warehouse stocked with the freshest data. Depending on how often this process took place, the data could be old and no longer relevant. While this may have been fine in the 1980s or 1990s, it's not sufficient in today's fast-paced, interconnected world.

Real-time EFL has since been developed, allowing for continuous, non-invasive data warehousing. While most business intelligence solutions today are capable of mining, extracting, transforming, and loading data continuously without service disruptions, that's not the end of the story. In fact, data mining is just the beginning.

After mining data, what are you going to do with it? You need some form of enterprise reporting in order to make sense of the massive amounts of data coming in. In the past, enterprise reporting required extensive expertise to set up and maintain. Users were typically given a selection of pre-designed reports detailing various data points or functions. While some reports may have had some customization built in, such as user-defined date ranges, customization was limited. If a user needed a special report, it required getting someone from the IT department skilled in reporting to create or modify a report based on the user's needs. This could take weeks - and it often never happened due to the hassles and politics involved.

Fortunately, modern business intelligence solutions have taken enterprise reporting down to the user level. Intuitive controls and dashboards make creating a custom report a simple matter of drag and drop while data visualization tools make the data easy to comprehend. Best of all, these tools can be used on demand, allowing for true, real-time ad hoc enterprise reporting.

Article Source: http://EzineArticles.com/7504537

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Wednesday, 24 April 2013

Advancing Medicine through Web Scraping

If one has to measure the scope and possibilities that data mining can accomplish in the world and in the lives of humans today, the boundaries are be difficult to determine. Almost all aspects of life can be improved and developed through this process. Looking at the advancement in medicine for instance, so much has been gained already by collecting information from the worldwide web.

Search for new cure

For centuries, there has been an unending search for cure of the many diseases that keep on erupting and of those that keep on recurring in a more severe and resistant mode. These diseases truly do not just happen from out of the blue. They are sometimes by-products of humans’ careless living and other newer activities and lifestyle. Some are even results of medical malpractice and carelessness.

The ballooning number of diseases can still be managed especially now that important data can be retrieved by the use of web scraping. One disease and its treatment can be compared to another through the available information online. A researcher needs not to do repeated and similar experiments done by his contemporaries in other places of the world when he or she can study the other researchers’ findings through online collaboration and data collection.

Prevention of relapses

In addition to the ability to connect with other researchers and research findings all over the world, data mining and medicine can specifically focus on studying the possibility of relapses of many diseases and preventing such occurrences through the vast number of knowledge that can be gleaned from the experts in the medical field. The cost of travel and the time spent in the procurement of information and cure from other countries can indeed be minimized considerably.

In fact, at present more lives are already saved from death and serious damages because of the easy access of relevant information particularly about a certain disease or a case in one part of the globe from the more advanced sources in the more developed countries. The capacity of data mining in providing monumental valuable information has never been quick and easy as of today. If only all medical practitioners and institutions are aware of this, life in the modern world can be a lot different. There will be less transferring of patients from one location to another because doctors and medical practitioners can simply compare notes and consult each other through the virtual world.

It is even amazing to conceptualize that there will come a time when a certain procedure can be done by a team who are physically apart but will virtually work together and successfully accomplish it. This may sound absurd but it is really possible.

Solid Basis for Further Researches

The available data base gathered from the archives of the experts in the medical field will not only be helpful in research but also in the actual treatment and solution to cases in areas away from the physical sources and modern hospitals. With proper identification of reliable sources and networking with specialists in the medical field, more and more solutions can be discovered and preventive measures can be implemented.

Some seemingly rare and unknown diseases can be studied with more clarity by comparing them with the studies and incidents accessed through the internet. The recent case of health hazards in a number of children, for example, in Cambodia can be studied using the database collected from another incident in the past in another part of the globe. Similar symptoms and conditions can be compared along with the treatments done in the past, as well as any possibilities of existing vaccines in a similar case can expedite the solution to the present dilemma.

Possible Collaboration among Experts

Many medical practitioners all over the world are open to the possibility of online or virtual collaboration. Since there are some cases that even if patients can afford treatment abroad but their conditions do not warrant safe and secure transport, online collaboration can be done. Similarly, specialists cannot always leave their posts so they can delegate the actual treatments to their colleagues in a different location. In this way, medical knowledge is easily shared and more lives are saved.

There is indeed no end to the possibility of the extent of the knowledge gained from data mining. The medical field can be one of the most benefitted from this procedure. Instinctively, many individuals use the internet to study their physical conditions as well as that of their loved ones. When a member of the family suffers from a certain disease, a number of people search online for possible solutions and explanations before going to the hospital or clinic. Fortunately, there are already many websites on medicine and medical advice from experts and one has only to avail of the chance of understanding one’s physical condition before it gets worse. Like a first aid kit, the internet has become an easily available and very helpful ally.

Source: http://www.loginworks.com/blogs/web-scraping-blogs/250-advancing-medicine-through-web-scraping-

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