How Long to Read Towards Querying and Mining of Large-scale Networks

How Long Does it Take to Read Towards Querying and Mining of Large-scale Networks?

It takes the average reader 4 hours and 20 minutes to read Towards Querying and Mining of Large-scale Networks by Arijit Khan

Assuming a reading speed of 250 words per minute. Learn more

Description

My research interests span the emerging problems in large-scale, heterogeneous, semi-structured data, with a focus on querying and pattern mining in social and information networks using scalable algorithms and machine learning techniques. My research on largescale graphs could be categorized into two broad directions: (1) querying of large-scale networks, including heterogeneous networks, uncertain and stream graphs, and (2) pattern mining over large graphs. In the domain of querying heterogeneous networks, due to noise and lack of schema, structured methods such as SPARQL -- which require an underlying schema to formulate a query.

How long is Towards Querying and Mining of Large-scale Networks?

Towards Querying and Mining of Large-scale Networks by Arijit Khan is 255 pages long, and a total of 65,025 words.

This makes it 86% the length of the average book. It also has 79% more words than the average book.

How Long Does it Take to Read Towards Querying and Mining of Large-scale Networks Aloud?

The average oral reading speed is 183 words per minute. This means it takes 5 hours and 55 minutes to read Towards Querying and Mining of Large-scale Networks aloud.

What Reading Level is Towards Querying and Mining of Large-scale Networks?

Towards Querying and Mining of Large-scale Networks is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Towards Querying and Mining of Large-scale Networks?

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