Knowledge Extraction via Learning Processes and Data Models with Imprecision
Knowledge Extraction via Learning Processes and Data Models with Imprecision
批准号:
RGPIN-2017-06245
负责人:
Reformat, Marek
金额:
$1.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31
中文摘要
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英文摘要
The web represents an immense repository of information. A number of sources of structured and even more often unstructured data is growing every day. There is no doubt that our dependency on data increases continuously. However, the increased amount of data - although recognized as positive and beneficial fact - creates an even bigger issue related to our ability to fully utilize that data. That situation increases the pressure to develop automatic and more efficient approaches suitable for advanced processing of data leading to creating logic structures that ‘lifting’ raw data into a knowledge-like level.
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Knowledge Extraction via Learning Processes and Data Models with Imprecision
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Knowledge Extraction via Learning Processes and Data Models with Imprecision
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.46万
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Knowledge Extraction via Learning Processes and Data Models with Imprecision
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项目类别:Discovery Grants Program - Individual
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