Semantic HMC for Big Data Analysis

被引：0

作者：

Hassan, Thomas ^{[1
]}

Peixoto, Rafael ^{[2
]}

Cruz, Christophe ^{[1
]}

Bertaux, Aurlie ^{[1
]}

Silva, Nuno ^{[2
]}

机构：

[1] Univ Bourgogne, Dijon, France

[2] Polytech Porto, Oporto, Portugal

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2014年

关键词：

classification; multi-classify; Big-Data; ontology; semantic technologies; machine learning; TEXT;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Analyzing Big Data can help corporations to improve their efficiency. In this work we present a new vision to derive Value from Big Data using a Semantic Hierarchical Multi-label Classification called Semantic HMC based in a non-supervised Ontology learning process. We also proposea Semantic HMC process, using scalable Machine-Learning techniques and Rule-based reasoning.

引用

页数：3

共 18 条

[1]

[Anonymous], 2011, IDCS DIGITAL UNIVERS

[2] Recommender systems survey [J].