Service rating : Very friendly service with good communication along the ordering process. The product itself is also very beautiful and was appreciated by the recipient.
It was my second time ordering and would definitely think about ordering again. Product : Good quality and beautiful. Service rating : Delivered on time, very good products as always. Product : Bought for my wife's birthday, will look lovely on.
Service rating : Clear ordering experience. Delivery on time as expected. Quality of product excellent.
Product : Wife loved it- Just what she was wanted. Service rating : Amazing service. Bought an engagement ring and a wedding ring and both experiences were 5 star service and quality. Product : 5 star quality and service. Service rating : The staff were very efficient and polite, I couldn't fault the customer service from everyone I spoke to and I am made up with my ring. Would highly recommend.
Product : The ring looks great! I'm very happy with my wedding band and the added personal touch with the date on it Service rating : Excellent experience. Resized ring.
Nice and easy service. Thank you. Product : Lovely ring better than the pictures.
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Anonymous Anonymous. Service rating : Hi, Thank you for leaving us a review on the service you received from Serendipity Diamonds.
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The whole Service rating : Hi, Many thanks for leaving us a review on the service you received from Serendipity. Knowledge discovery engines try to extract general inferences from facts or training data. Statistical methods take a more structured approach, attempting to quantify data by known and intuitively understood models.
The problem of gleaning knowledge from existing data sources poses a significant paradigm shift from these traditional approaches. The size, noise, diversity, dimensionality, and distributed nature of typical data sets make even formal problem specification difficult. Moreover, you typically do not have control over data generation. Once specified, solution techniques must deal with complexity, scalability to meaningful data sizes , and presentation.
This entire process is where data mining makes its transition from serendipity to science. Published in: Computer Volume: 32 , Issue: 8 , Aug Article :. Date of Publication: Aug