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Showing posts with the label Data Mining

What is INCOIS ?

The Indian National Centre for Ocean Information Services (INCOIS) is an autonomous organization under the Ministry of Earth Sciences (MoES), Government of India. INCOIS plays a critical role in providing a variety of ocean-related services, focusing on oceanographic, atmospheric, and environmental data to support multiple sectors, including coastal security, fisheries, marine navigation, and disaster management. Key Functions and Services of INCOIS: Tsunami Early Warning System (TEWS) : INCOIS operates the Indian Tsunami Early Warning System, which provides early warnings and alerts for tsunamis, particularly in the Indian Ocean region. It is a part of the larger Indian Ocean Tsunami Warning and Mitigation System (IOTWMS). Ocean State Forecasts : INCOIS provides real-time ocean state forecasts, including wave height, sea surface temperature, currents, tides, and wind speed. These forecasts help the maritime, fishing, and shipping sectors ensure safety and efficiency. Fisheries Adviso

What is Data Ecosystem?

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In the broader data ecosystem , Data Science is interconnected with several related fields, each contributing to or benefiting from the insights and methods developed within Data Science. These topics form an integrated system that enhances data-driven decision-making and technological advancements. Below are key areas linked with Data Science: 1. Big Data Description : Refers to extremely large datasets that are challenging to process using traditional methods due to their volume, velocity, variety, and veracity (4 V’s). Link to Data Science : Data science methods, such as machine learning and statistical analysis, are applied to extract insights from Big Data. Technologies like Hadoop, Apache Spark, and distributed databases help manage and process this data. Application : Real-time analytics, fraud detection, personalization in e-commerce, social media analysis. 2. Artificial Intelligence (AI) Description : The simulation of human intelligence processes by machines, particularly com