Data Mining

Ophel Data Mining Technologies

  • Machine learning tasks are classified into several broad categories. In supervised learning, the algorithm builds a mathematical model of a set of data that contains both the inputs and the desired outputs. For example, if the task were determining whether an image contained a certain object, the training data for a supervised learning algorithm would include images with and without that object (the input), and each image would have a label (the output) designating whether it contained the object.
  • In special cases, the input may be only partially available, or restricted to special feedback.[clarification needed] Semi-supervised learning algorithms develop mathematical models from incomplete training data, where a portion of the sample inputs are missing the desired output.
  • Thanks to cloud-computing services, users can check their email on any computer and even store files using services such as Dropbox and Google Drive. Cloud-computing services also make it possible for users to back up their music, files and photos, ensuring that those files are immediately available in the event of a hard drive crash.

Data Mining

If you mine the data hard enough, you can also find messages from God.

  • What is Data Mining?

    Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. Data mining helps in analyzing and summarizing different elements of information. Mining process is a form where in which all the data and information can be extracted for the purpose of future benefit.

  • How your organization will be benfited by Data Mining?

    CRM(customer realationship manbagement) is all about acquiring and retaining customers, also improving customers’ loyalty and implementing customer focused strategies. ,Corporate surveillance is the monitoring of a person or group’s behaviour by a corporation.

  • Data mining Techniques we use

    Ophel computing follows( Knowledge discovery in database(KDD) Procees and Cross industry standard process for Data Mining(CRISP-DM)).

  • When it will be useful?

    By applying data mining in operational engineering data, manufacturers can detect faulty equipment and determine optimal control parameters.Data mining helps marketing companies build models based on historical data to predict who will respond to the new marketing campaigns such as direct mail, online marketing campaign…etc.

Traditional Approach
Data Mining
1. Traditional business applications have always been very complicated and expensive. 1. Data mining is an important part of knowledge discovery process that we can analyze an enormous set of data and get hidden and useful knowledge.
2. The amount and variety of hardware and software required to run them are daunting. 2. Data mining is applied effectively not only in the business environment but also in other fields such as weather forecast, medicine, transportation, healthcare, insurance, government…etc.
3. You need a whole team of experts to install, configure, test, run, secure, and update them. 3. Data Mining, it helps to discover all sorts of information about the unknown elements. And adding to that data mining helps to increase the website optimization.
4. When you multiply this effort across dozens or hundreds of apps, it’s easy to see why the biggest companies with the best IT departments aren’t getting the apps they need. 4. Data Mining is Easy to use, configure.
5. Small and midsize businesses don’t stand a chance. 5. It is helpful to predict future trends, Helps in decision making, Increase company revenue, Quick fraud detection.

Data Mining

Data Mining Platforms

  • Neural Designers
  • Rapid Miner Studio
  • IBM SPSS Modeler
  • Dataiku DSS
  • Data Mining Tools

  • Rapid Miner
  • Orange
  • Weka
  • sectors which are benefited by Data Mining

  • Financial Banking
  • Manufacturing(CRM, Research Analysis)
  • Healthcare
  • Educational institution

  • ophel computing Believes Mine facts from data that fit your context. Mining for gold and diamonds are passé.

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