Answer:
c. supply chain
Explanation:
A supply chain in commerce, is a network of organizations and activities needed to obtain materials and other resources, produce final products, and get those products to their final users.
Answer:
I am pretty sure its the Visual card
Answer:
B.4.75
Explanation:
Buffer solutions are the solutions which can resist the change in the pH up to some extent. They are the solutions of either weak acid and conjugate base of it or weak base and conjugate acid of it.
The pH of a buffer solution can be measured by the equation known as Henderson–Hasselbalch equation.
pH=pKa+log[base]/[acid]
A good buffer that buffer which has its acid's pKa within one pH unit of desired experimental conditions.
Thus, desired pH = 5.3
Preferable pKa = 4.3 - 6.3
<u>Answer - B. 4.75</u>
Answer: given in the explanation
Explanation:
Data mining is referred as an automated processing tool used for sorting and analyzing enormous data and information which indeed are ``aimed towards effectively identifying trends and patterns and establishing relationships to solve business problems and generate new opportunities. Furthermore data mining techniques also helps to predict what’s going to happen in the future and act accordingly to take benefit of forthcoming tendencies.
Data mining is applied to a variety of large-scale data-processing activities such as collecting, extracting, warehousing and analyzing data. It also includes decision-support applications and technologies such as business artificial intelligence and machine learning and is used in varied areas of business research such as product development, sales and marketing etc.
Data mining is for taking advantage of data to predict
;
- Mathematical algorithms, and, data are used for predictive analytics. One can capture information, and, use it to model sales pattern, trends, and, customer behaviour
- Data mining uses algorithms to extract, and, analyze information; discover hidden patterns
- It uses data patterns, and, is thus closely tied to machine learning
- Historical & current information is used to predict future trends
Data mining can be used for the following:
- Data mining in gas & oil operations - Mining data in gas & oil operations involves committing to key technologies, and, processes; and, embracing new ways of thinking & problem-solving. Firms can use exploratory data analysis, modelling techniques & model development; approaches to put models into production
- Big data - Performance computing & advanced analytics
- Magic Quadrant - Evaluate 16 vendors to identify the right ones
- Heavy reading, network analytics - Optimize network; evaluate network performance; provide targeted marketing; fine-tune capacity.
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