Smart Data Collective

NOVEMBER 1, 2020

Overall, clustering is a common technique for statistical data analysis applied in many areas. Dimensionality Reduction – Modifying Data. k-means Clustering – Document clustering, Data mining. Hidden Markov Model – Pattern Recognition, Bioinformatics, Data Analytics. Source ].

Learning 335

Learning Data Mining Matrix Algorithm 335

Netbasequid

MAY 24, 2022

It involves a deep exploration of businesses operating in the same market segment, with the intention of maintaining or acquiring more market share. All you have to do is follow the right avenues: Ask their customers; watch their marketing messages; go to their website; and visit their shops.

Competitor Analysis 98

Competitor Analysis Analysis SWOT Data Mining 98

Datapine Blog

NOVEMBER 27, 2019

Today, most companies understand the impact of data quality on analysis and further decision-making processes and hence choose to implement a data quality management (DQM) policy, department, or techniques. According to Gartner, poor data quality is estimated to cost organizations an average of $15 million per year in losses.

Business Intelligence 144

Business Intelligence Intelligence Intelligence Business 144