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

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.

Source: http://ezinearticles.com/?Data-Mining-in-the-21st-Century:-Business-Intelligence-Solutions-Extract-and-Visualize&id=7504537

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

Keene Labs: Create Beautiful Word Clouds With Scraped Data

Without innovation it’s impossible for consultancies to offer services that represent real added value. So we test innovative new technologies by pushing them through Keene Labs. Our dedicated project area where we work with open source communities to develop new products that improve our services.

One of the tools we’ve been delivering client work and experimenting with is called import.io. Through using crawlers, the tool can turn any webpage into raw data – this in turn can be manipulated in a number of ways. The tool itself was built by a young tech startup based in London who I had the pleasure of meeting at the end of last year.

In the screen capture video below I show you how you can use import.io to scrape data from a blog and then present this data as a beautiful word cloud using Tagul. It’s my first screen capture ever – so don’t pass too much negative judgment!

Source:http://www.keenecomms.com/2015/02/05/keene-labs-create-beautiful-word-clouds-with-scraped-data/