Kathy J. Liszka

Learn More
We have developed and benchmarked real-time collection methods that exploit digital, packet-switched telephony services available in metropolitan areas. The Arrhythmia monitoring system collects real-time electrocardiogram signals from a mobile or homebound patient, and combines them with GPS location data, and transmits this information to a remote station(More)
In this study, we apply data mining tools to generate interesting patterns for predicting box office performance of movies using data collected from multiple social media and web sources including Twitter, YouTube and the IMDb movie database. The prediction is based on decision factors derived from a historical movie database, followers count from Twitter,(More)
The bitonic sorting network will sort N-2^m keys in O(log^2N) time with 0(Nlog^2N) comparators. Developments on the sorter enable the network to sort N-pq keys, a composite number. However, there has been no general method for sorting a bitonic sequence of N keys, N a prime, or N a composite that decomposes into primes larger than 3. The oddmerge method(More)
Real-time tasks for command and control systems are too large or too complex for one processor to handle. Simply adding more CPUs does not result in a linear increase in performance. Current comparative analysis of parallel algorithms does not accurately reflect the increased cost of scheduling when more processors are added. A case is made that associative(More)
We present a three-tiered architecture for the design of a mobile, body area network for ECG monitoring. This architecture addresses different sensing modalities of biomedical sensors, temporal windows required during data collection, multiscale data resolution, and network capabilities. The primary objective is to provide personalized health care for a(More)
This paper presents a method of applying text mining techniques and data mining tools for pharmaceutical spam detection from Twitter data. A simple method based on a manually selected list of 65 pharmaceutical discriminating words is used for labeling spam training tweets. Preliminary experimental results show that J48 decision tree classifier has better(More)