AN INTRODUCTION TO SENSOR DATA ANALYTICS - Managing and Mining Sensor Data - page 1

Chapter 1

AN INTRODUCTION TO SENSOR DATA
ANALYTICS

Charu C. Aggarwal
IBMT.J.WatsonResearchCenter
Yorktown Heights, NY 10598
[e-mail]

Abstract The increasing advances in hardware technology for sensor processing

and mobile technology has resulted in greater access and availability
of sensor data from a wide variety of applications. For example, the
commodity mobile devices contain a wide variety of sensors such as
GPS, accelerometers, and other kinds of data. Many other kinds of
technology such as RFID-enabled sensors also produce large volumes
of data over time. This has lead to a need for principled methods for
ecient sensor data processing. This chapter will provide an overview of
the challenges of sensor data analytics and the different areas of research
in this context. We will also present the organization of the chapters in
this topic in this context.

Keywords: Sensor data, stream processing

1. Introduction
Recent years have seen tremendous advances in hardware technology
such as the development of miniaturized sensors, GPS-enabled devices,
pedometers, and accelerometers, which can be used to collect different
kinds of data [6]. This has lead to a deluge of tremendous amounts of
real-time data, which can be mined for a variety of analytical insights.
The costs of sensor hardware has been consistently going down over the
past few years. Furthermore, many data collection technologies [5] such
as RFID have been enabled in a very cost-effective way, as a result of
which the scale of the collection process has become enormous. Sensor