No Android Java High Yes No Limited / HTC / Sense Networks / Database Systems / Samsung / Embedded Networked Sensor Systems / CNN / Apple / Google / Moore S.A. / Pearson / Artificial Neural Networks / MySQL / STMicroelectronics / Oracle / /
Country
United States / /
Currency
USD / / /
Facility
Fordham University / Information Science Fordham University / /
IndustryTerm
cellular carrier / real-time updates / distributed processing / portable gaming systems / legitimate sensor mining applications / data mining algorithm / documented developer tools / real time / smart phone-based data mining applications / data mining algorithms / sensor mining architecture / mobile operating systems / sensor mining applications / biometric applications / supervised learning applications / remote services / Similar real time / data processing / few representative smart phone-based sensor mining applications / Wireless Sensor Data Mining / sensor mining architectures / server-based solution / mobile social networks / Secure applications / sensor hardware / sensor mining / data mining suite / smart phone applications / wireless mobile devices / data mining applications / phone applications / mobile sensor mining architecture / routine processing / data mining architecture / image mining / real-time applications / Location-based sensor data mining / sensor mining results / data mining / phone-based sensor mining architecture / broadband network / particular applications / mobile sensor mining applications / activity recognition systems / web interface / data mining module / malicious applications / smart phone-based sensor mining platforms / concurrent processing / smart phone-based sensor mining architecture / software development kit / research / sensor mining process / predictive data mining algorithms / smart phone sensor mining / sensor applications / client device / consumer applications / activity recognition applications / unsecure networks / mining / Wireless Sensor Data / Mobile sensor mining / public networks / real time applications / data mining tasks / Internet search / automatic memory management / learning algorithms / implementing remote services / /
OperatingSystem
Share / Android / /
Organization
Tony T. Pulickal Department of Computer / Fordham University / Department of Computer and Info / /
Person
Step / Gary M. Weiss / Jack C. Xue / Shaun T. Gallagher / Tony T. Pulickal / Andrew B. Grosner / /
Position
client Data Collector / Data Collector / WISDM Data Collector / representative / programmer / Data Mining General / /
Product
Navigator / iphone / ActiTracker activity recognition system / HTC Hero Smartphone / Data Collector application / RAM / Motorola Droid Smartphone / ActiTracker application / HTC Evo 4G Smartphone / ActiTracker / SQL injection / Apple iPhone / Data Collector / /
ProgrammingLanguage
Java / SQL / PHP / DC / Javascript / C / Perl / /
ProvinceOrState
Massachusetts / /
Technology
RAM / mobile phones / operating system / html / shared memory / mobile devices / public key encryption / cryptography / jsp / Java / 1GHz Snapdragon Scorpion processor / 3.8 Algorithm / Bluetooth / flash / Virtual Machine / PHP / Smart Phone / relational database / Third party data mining algorithms / Smart phones / Smartphone / GPS / Perl / Machine Learning / Android / mobile device / SSL / operating systems / pdf / cellular telephone / public key / artificial intelligence / ASCII / data mining algorithms / data mining / broadband network / caching / predictive data mining algorithms / Client/Server / data mining algorithm / /
Design Considerations for the WISDM Smart Phone-based Sensor Mining Architecture Jeffrey W. Lockhart, Gary M. Weiss, Jack C. Xue, Shaun T. Gallagher, Andrew B. Grosner, Tony T. Pulickal Department of Computer and Informa