Exploration & analysis, by automatic or semi-automatic means, of
large quantities of data in order to discover meaningful patterns.
Extraction of interesting (non-trivial, implicit, previously unknown and
potentially useful) patterns or knowledge from huge amount of data.
Data Mining also known...
Extraction of implicit, previously unknown and potentially useful
information from data
Exploration & analysis, by automatic or semi-automatic means, of
large quantities of data in order to discover meaningful patterns
Extraction of interesting (non-trivial, implicit, previously unknown and
potentially useful) patterns or knowledge from huge amount of data
Data Mining also known as Knowledge discovery (mining) in databases
(KDD), knowledge extraction, data/pattern analysis, data archaeology, data
dredging, information harvesting, business intelligence, etc
As data is growing at very remarkable rate, there comes a need to analyse
large, complex and information rich data sets to gain the hidden
information. This may result into greater customer satisfaction and
remarkable turn over for the firm.
Why do We Need Mata Mining?
• Lots of data is being collected and warehoused
- Web data, e-commerce
- purchases at department/ grocery stores
- Bank/Credit Card transactions
, • Computers have become cheaper and more powerful
• Competitive Pressure is Strong
- Provide better, customized services for an edge (e.g. in Customer
Relationship Management)
Data Mining Functionality
Concept description: Characterization and discrimination
- Generalize, summarize, and contrast data characteristics, e.g., dry
vs. wet regions
Association (correlation and causality) :
- multi-dimensional vs. single-dimensional association
- Prediction: Predict some unknown or missing numerical values
Cluster analysis :
- Class label is unknown: Group data to form new classes, e.g.,
cluster houses to find distribution patterns
- Clustering based on the principle: maximizing the intra-class
similarity and minimizing the interclass similarity20
Outlier analysis :
- Outlier: a data object that does not comply with the general
behaviour of the data C
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller raxit. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $15.49. You're not tied to anything after your purchase.
