sematic web cloud computing database mining mobile -android tools development data storage devices and its trend... etc...,.,
the contemporary computer science focused more on dealing with the scalable information. For example: how to retrieve the information(google,yahoo), how to mining the information(ERP, data mining techonogy). whereas, the traditional computer science pay more attention to the performance of the computer. For example, how to enlarge the memory capacity, how to make the computer smaller
Dzevad Belkic is a Bosnian author known for writing academic books and research articles related to computer science, particularly in the field of artificial intelligence. Some of his notable works include "Foundations of Knowledge Discovery in Databases" and "Intelligent Systems for Data Mining and Information Retrieval."
Examples: machine learning; computer vision; image processing; pattern recognition; cognitive science; data mining; evolutionary computation; information retrieval; knowledge representation; natural language processing.
The Science skill category centers on research, but it has a few tie-ins with other disciplines as well.There are significant stakes involved in research, so the skills that enable research projects are largely prohibited to trial accounts.Research aside, science skills are involved in advanced mining and processing techniques, advanced survey abilities, and in the use ofjump clones.
* Biomedical/Biotechnology research * Genetic Engineering * Pharmacology * Exploration of Alternative energy * Forensic Science * Environmental Remediation * Toxicology * Mining/Geochemistry * Petrochemical industry * Public health/nutrition * Science Journalism * Agriculture * Computer Science * Science Education * Food Technology * Government Service * Chemical management and sales * Environmental Law * Textile Design
Jonas V. Bilenas has written: 'The power of PROC Format' -- subject(s): Data mining, SAS (Computer file), Text processing (Computer science)
Data mining is a computer science which extract patterns in data sets. It can be used to predict which people are most likely to respond to a sales offer or what type of garment is preferred by a certain type of customer.
Data mining, speech recognition, vision and image analysis, data compression, artificial intelligence, and network and traffic modelling all make use of statistics. Understanding the algorithms and statistical features that make up the backbone of computer science requires a statistical background. To learn more about data science please visit- Learnbay.co
Rafael Magdalena Benedito has written: 'Intelligent data analysis for real-life applications' -- subject(s): Computer algorithms, Data mining, Machine learning 'Medical applications of intelligent data analysis' -- subject(s): Clinical Decision Support Systems, Knowledge Bases
because antarctica is meant to be a peaxeful scientific research area not for mining
Some of the advantages in data mining services include Market Data Research. this provides the companies with large amounts of data for research and development.