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NEC Technology Automatically Detects Patterns from Big Data- Potentially contributes to early detection of illness and electricity supply projections -

*** For immediate use June 22, 2012

Tokyo, June 22, 2012 - NEC Corporation (NEC; TSE: 6701) announced today the development of heterogeneous mixture learning technologies that automatically detect massive patterns hidden in big data. These technologies are expected to achieve high-precision predictions and anomaly detections that are difficult by handcrafted data analysis.

In recent years, the demand for analysis of big data collected from such tools as the Internet and specialized sensors is rapidly increasing. Today, there is a great deal of anticipation for technologies that help understand contemporary issues and even help predict future conditions. Currently, automatic extraction of patterns within big data is largely done by machine learning technologies (*1).

NEC's new heterogeneous mixture learning technologies learn multiple relationships hidden in big data and discover useful patterns. Among such patterns, they automatically select the appropriate one depending on the situation. This enables higher-precision prediction and anomaly detection in dynamically-changing environments than existing machine learning technologies, which often take just a single pattern into account.

For example, on the basis of extracted heterogeneous patterns, these technologies help property management companies to predict electricity demand even if relationships between electricity demand and factors such as surrounding temperature, day of the week or time of day are constantly changing. In the medical field, these technologies may also be useful for detecting abnormal patterns from "lifelog" data, potentially resulting in early detection of asymptomatic illnesses.

Going forward, NEC will continue to drive the development of technologies and systems that capitalize on the possibilities of big data.

NEC will present results from this development on June 28 at the 29th International Conference on Machine Learning (ICML 2012) in Edinburgh, Scotland from June 26 to July 1, 2012.


About NEC Corporation
NEC Corporation is a leader in the integration of IT and network technologies that benefit businesses and people around the world. By providing a combination of products and solutions that cross utilize the company's experience and global resources, NEC's advanced technologies meet the complex and ever-changing needs of its customers. NEC brings more than 100 years of expertise in technological innovation to empower people, businesses and society. For more information, visit NEC at

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*1) Machine learning technologies:
Technologies that extract information from data, including useful patterns, rules, knowledge representations, evaluation criteria and others.

NEC Press Contacts (Japan)

Takehiko Kato
NEC Corporation

Joseph Jasper
NEC Corporation