作者
Richard K Lomotey, Ralph Deters
发表日期
2014/4/7
研讨会论文
2014 IEEE 8th International Symposium on Service Oriented System Engineering
页码范围
181-191
出版商
IEEE
简介
Analytics-as-a-Service (AaaS) has become indispensable because it affords stakeholders to discover knowledge in Big Data. Previously, data stored in data warehouses follow some schema and standardization which leads to efficient data mining. However, the Big Data epoch has witnessed the rise of structured, semi-structured, and unstructured data, a trend that motivated enterprises to employ the NoSQL data storages to accommodate the high-dimensional data. Unfortunately, the existing data mining techniques which are designed for schema-oriented storages are non-applicable to the unstructured data style. Thus, the AaaS though still in its infancy, is gaining widespread attention for its ability to provide novel ways and opportunities to mine the heterogeneous data. In this paper, we discuss our AaaS tool that performs terms and topics extraction and organization from unstructured data sources such as …
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RK Lomotey, R Deters - 2014 IEEE 8th International Symposium on Service …, 2014