Mining deviants in time series data streams One of the central tasks in managing, monitoring and mining data streams is that of identifying outliers. There is a long history of study of various outli... S Muthukrishnan,R Shah,JS Vitter - International Conference on Scientific & Statistical Da...
mining, and utilization of streaming data that is generated by modern information systems. Mining big time series and data streams introduces new aspects and challenges to the tasks of data mining and knowledge discovery. Examples of these new challenges include: finding the most efficient representati...
Mining Alarming Incidents from Data Streams Mining Allotment Mining and Cataloging Mining and Chemical Industry Mining and Energy Research Network Mining and Environment Research Network Mining and Environmental Geology Mining and Management of Biological Data Mining and Materials Processing Institute of Japan...
These sequences and streams are generated at a fast pace posing grand challenges in computation and analysis. On one hand, due to the huge number of events, analyzing the sequences is time-consuming. On the other hand, as events in a stream may not necessarily arrive in uniform speed, an...
This study investigates existing input privacy-preserving data mining (PPDM) methods and privacy-preserving data stream mining methods (PPDSM), including t
In addition to mining massive datasets, we will show that our ideas also have implications for real-time monitoring of data streams, allowing us to handle much faster arrival rates and/or use cheaper and lower powered devices than are currently possible. 展开 ...
Define mining bee. mining bee synonyms, mining bee pronunciation, mining bee translation, English dictionary definition of mining bee. n a solitary bee of the genera Andrena and Halictus, which sometimes resemble honey bees Collins English Dictionary –
1 Data mining meets grid computing: Time to dance? Alberto Sa´nchez, Jesu´ s Montes, Werner Dubitzky, Julio J. Valde´s, Mar´ıa S. Pe´rez and Pedro de Miguel ABSTRACT A grand challenge problem (Wah, 1993) refers to a computing problem that cannot be solved in a ...
5、asks. Mining data streams is concerned with extracting knowledge structures represented in models and patterns in non stopping streams of information. The research in data stream mining has gained a high attraction due to the importance of its applications and the increasing generation of streaming...
For large scale data, we propose algorithms for learning time series models, in particular, including Linear Dynamical Systems (LDS) and Hidden Markov Models (HMM). We also develop a distributed algorithm for finding patterns in large web-click streams. Our thesis will present special models and...