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What are research topics for mphil computer science in intelligent data mining?
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List Research topics in computer science under graduate degree?
sematic web cloud computing database mining mobile -android tools development data storage devices and its trend... etc...,.,
What is the difference between contemporary computer science and traditional computer science?
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
What are the uses of computer science?
Academic and research individuals working in the field of computer science or aspiring to do research in computer science or machine learning seek machine learning journal impact factors before selecting a journal to publish their research work. In recent times, research on machine learning and artificial intelligence-related areas have more scope and potential compared to any other branch of CS. due to this competition in this field can be seen with bare eyes. Academic scholars are required to publish research papers or articles from time to time to get points for their promotions or getting other professional or academic advances. Publication requires lots of time and attention, as one has to arrange their documents in a prescribed format of the journal. So journal with no publication fee would help them in publishing their research work.
What has the author DZEVAD BELKIC written?
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."
What is science skills?
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.
What Career paths require chemistry?
* 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
What does data mining mean and how is it done?
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.
What has the author Jonas V Bilenas written?
Jonas V. Bilenas has written: 'The power of PROC Format' -- subject(s): Data mining, SAS (Computer file), Text processing (Computer science)
Rules and roles of statistical data in computer science?
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
Why is mining in antarctica bad?
because antarctica is meant to be a peaxeful scientific research area not for mining
What are the advantages for data mining services?
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.
What has the author Rafael Magdalena Benedito written?
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
