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Jumat, 09 November 2018

Walmart Recruiting Store Sales Forecasting

In Walmart dataset for recruiting store sales. It shows that,

Clustering in Daily Life

  • Biology: classification of plants and animals given their features;
  • City-planning: identifying groups of houses according to their house type, value and geographical location;
  • Earthquake studies: clustering observed earthquake epicenters to identify dangerous zones;
  • Insurance: identifying groups of motor insurance policy holders with a high average claim cost; identifying frauds;
  • Libraries: book ordering;
  • Marketing: finding groups of customers with similar behavior given a large database of customer data containing their properties and past buying records;
  • WWW: document classification; clustering weblog data to discover groups of similar access patterns
  • Clustering helps marketers improve their customer base and work on the target areas. It helps group people (according to different criteria’s such as willingness, purchasing power etc.) based on their similarity in many ways related to the product under consideration.
  • Clustering helps in identification of groups of houses on the basis of their value, type and geographical locations.
  • Clustering is used to study earth-quake. Based on the areas hit by an earthquake in a region, clustering can help analyse the next probable location where earthquake can occur.

Senin, 24 September 2018

Complex System in daily life

Complex System in daily life that can be managed by computations system are:
1. A large stock of inventory, where decision support system applications can provide guidance on establishing supply chain movement that works for a business.

Senin, 27 Agustus 2018

Behind Alibaba's Sucess




Alibaba, China’s e-commerce giant is changing the paradigm of online consumer shopping experience by applying artificial intelligence (AI) technology throughout its core operations. Use of AI has helped Alibaba to increase its scale of operation more efficiently and has resulted in cost-effective outcomes. The technology is still in its infancy state, according to Jack Ma, the founder of Alibaba but if properly harnessed can change the way online shopping is done.