Search results with tag "Unstructured data"
MACHINE LEARNING IN INSURANCE - Accenture
www.accenture.comunstructured data. Analysing this unstructured data and using it to drive better business decisions requires advanced data science techniques. Emerging data analytics technologies centred on machine learning bring order and purpose to this unstructured data so that it can be more effectively mined for business insights.
Open Text Archiving and Document Access for SAP Solutions
www.opentext.comSome analysts say the amount of data created in companies is growing by 80% each year. This data overload includes both structured data (stored in databases and generated by transactional IT systems such as SAP) and unstructured data (emails, office documents, incoming paper documents, images, and so on). This
LECTURE NOTES ON DATA PREPARATION AND ANALYSIS …
www.iare.ac.indeliver the resultant data product. Data gathering is a non-trivial step of the process; it normally involves gathering unstructured data from different sources. To give an example, it could involve writing a crawler to retrieve reviews from a website. This involves dealing with text,
Disease Prediction Using Machine Learning
www.irjet.nethandle structured data, we consult hospital experts to know useful features. In the case of unstructured text data, we select the features automatically with the help of k-mean algorithm. We propose a k-mean algorithm for both structured and unstructured data. 3.1 The k …
PGNet: Real-time Arbitrarily-Shaped Text Spotting with ...
www.aaai.orgstage arbitrarily-shaped scene text spotting method, which requires character-level ground truth data for training and its backbone is too heavy to run in a real-time speed. Graph Neural Networks. The unstructured data is com-mon in many machine learning tasks and can be organized as graphs. Thanks to the previous effort, we can use the