Monthly Archives: October 2014

Clustering: What does it mean?

The most unverified learning problem can be called Clustering. Like all other problem of similar nature, it focusses on exploring a structure in a compiled data that is unlabelled. A very novice definition of clustering would be the process by which organising objects into groups which has members that have similarities in some or the […]

What are the types of Interview methods that are used for Data collection?

Interviews are one of the key means of data collection which is primary data.The data that is collected gives more detailed information and it helps in in depth analysis. Interviews can be of varied types. These are: According to Formality: These are formal interviews and has a set of well-defined questions that have been presented […]

Another cycle which is called: The Research Hype Cycle

Whenever there is an innovation trigger in the market, it is followed by a generalized process of four stages. These four stages could be named as: Peaks of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity These stages could be explained in the field of research technology in a very interesting manner. […]

The Importance of Following a Documentation Style

In academic writing, you are usually asked to follow a specific documentation style while developing your paper. It is actually a standard approach for the way you cite your references in a document. A specific style is not only applicable to citing resources, but also to format every aspect ranging from margins to headings. When […]

How to Speak and Act with Data

Whatever be the industry or the nature of the business, different quality management tools and programs that range from lean, six sigma, Kaizen, ISO. They have something universally common and that is their dependency on data. That is their fundamental dependency. Even though the approaches and the techniques, time span and other details of these […]