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Culinary Arts Distinguished Chefs

Culinary Arts Distinguished Chefs Essay Joseph Favre Born in Vex a municipality of Switzerland on the day of February 17 of 1849 Joseph Favre was one of the most important chefs of the 19th century He was best known for his four volumes of the Practical Universal Cooking Dictionary or le Dictionnaire universel de cuisine pratique He was also a follower of Antonin CarĂªme one of the first renowned celebrity chefs He was the first to bring forth the idea of culinary competitions and exhibitions and may have even started the concept of molecular gastronomy bringing science into cooking Chef Favre has lead a very interesting and fulfilling life with many accomplishments that have made him the figure in the culinary world he is today Orphaned at a young age Joseph was the illegitimate child of catholic priest Victor Leblanc and Madeleine Quinodox He only got primary education but chose the path of cooking when a local lawyer raised him and told the young boy that he would have to become a priest if he didn't learn a manual trade At 14 he was sent away to Sion the capital of Valais as an apprentice cook to work for an aristocratic family for three years

2 pages | 406 words

The objective of mobile data mining is to provide efficient Techniques

The objective of mobile data mining is to provide efficient techniques for the analysis and monitoring of critical data from mobile devices The client programs are present on mobile devices that can invoke the data mining tasks of remote execution and show the mining results is an additional value for organizations and users who need to perform data analysis stored where users are working which is very far away from the site that allows them to produce study regardless of their present location The mobile data mining provides efficient techniques for the monitoring of critical data from mobile devices Distributed data mining environment is a critical issue which mobile data mining has to face also some technological constraints such as low bandwidth of networks much slower processors lesser storage space small screens to visualize the results as well as limited battery power MobiMine is an example of mobile data mining environment that is created for intelligent supervising from mobile devices of stock market It is based on a client server architecture 

1 pages | 342 words