How Long to Read Knowledge Discovery from Multi-Sourced Data

How Long Does it Take to Read Knowledge Discovery from Multi-Sourced Data?

It takes the average reader 1 hour and 31 minutes to read Knowledge Discovery from Multi-Sourced Data by Chen Ye

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

Description

This book addresses several knowledge discovery problems on multi-sourced data where the theories, techniques, and methods in data cleaning, data mining, and natural language processing are synthetically used. This book mainly focuses on three data models: the multi-sourced isomorphic data, the multi-sourced heterogeneous data, and the text data. On the basis of three data models, this book studies the knowledge discovery problems including truth discovery and fact discovery on multi-sourced data from four important properties: relevance, inconsistency, sparseness, and heterogeneity, which is useful for specialists as well as graduate students. Data, even describing the same object or event, can come from a variety of sources such as crowd workers and social media users. However, noisy pieces of data or information are unavoidable. Facing the daunting scale of data, it is unrealistic to expect humans to “label” or tell which data source is more reliable. Hence, it is crucial to identify trustworthy information from multiple noisy information sources, referring to the task of knowledge discovery. At present, the knowledge discovery research for multi-sourced data mainly faces two challenges. On the structural level, it is essential to consider the different characteristics of data composition and application scenarios and define the knowledge discovery problem on different occasions. On the algorithm level, the knowledge discovery task needs to consider different levels of information conflicts and design efficient algorithms to mine more valuable information using multiple clues. Existing knowledge discovery methods have defects on both the structural level and the algorithm level, making the knowledge discovery problem far from totally solved.

How long is Knowledge Discovery from Multi-Sourced Data?

Knowledge Discovery from Multi-Sourced Data by Chen Ye is 91 pages long, and a total of 22,841 words.

This makes it 31% the length of the average book. It also has 28% more words than the average book.

How Long Does it Take to Read Knowledge Discovery from Multi-Sourced Data Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours and 4 minutes to read Knowledge Discovery from Multi-Sourced Data aloud.

What Reading Level is Knowledge Discovery from Multi-Sourced Data?

Knowledge Discovery from Multi-Sourced Data is suitable for students ages 10 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 Knowledge Discovery from Multi-Sourced Data?

Knowledge Discovery from Multi-Sourced Data by Chen Ye is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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