Search Results - subject:"Data streams"

An adaptive algorithm for frequent pattern mining over data streams using diffset strategy

Subbulakshmi, B.; Deisy, C. - In: International journal of business information systems : … 31 (2019) 1, pp. 45-68

Persistent link: https://www.econbiz.de/10012062938

Enabling the integration of clinical event and physiological data for real-time and retrospective analysis

Percival, Jennifer; McGregor, Carolyn; Percival, Nathan; … - In: Information systems and e-business management : ISeB 13 (2015) 4, pp. 693-711

Persistent link: https://www.econbiz.de/10011597782

Dynamical clustering of streaming data with a growing neural gas network

Migdał-Najman, Kamila; Najman, Krzysztof - In: Acta scientiarum polonorum / Oeconomia : czasopismo … 14 (2015) 3, pp. 95-104

Persistent link: https://www.econbiz.de/10011381473

Energy-based function to evaluate data stream clustering

Albertini, Marcelo; Mello, Rodrigo - In: Advances in Data Analysis and Classification 7 (2013) 4, pp. 435-464

validation approaches are inadequate to data streams due to they do not properly evaluate representation of behavior changes …, which permits the evaluation of the level of uncertainty in data streams. A first set of experiments illustrate the proposed …

Persistent link: https://www.econbiz.de/10010995289

Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA

Bellas, Anastasios; Bouveyron, Charles; Cottrell, Marie; … - In: Advances in Data Analysis and Classification 7 (2013) 3, pp. 281-300

. However, model-based clustering techniques usually perform poorly when dealing with high-dimensional data streams, which are …

Persistent link: https://www.econbiz.de/10010698271

Online wavelet-based density estimation for non-stationary streaming data

García-Treviño, E.S.; Barria, J.A. - In: Computational Statistics & Data Analysis 56 (2012) 2, pp. 327-344

There has been an important emergence of applications in which data arrives in an online time-varying fashion (e.g. computer network traffic, sensor data, web searches, ATM transactions) and it is not feasible to exchange or to store all the arriving data in traditional database systems to...

Persistent link: https://www.econbiz.de/10011056575

Duplicate detection in pay-per-click streams using temporal stateful Bloom filters

Walgampaya, Chamila; Kantardzic, Mehmed; Wenerstrom, Brent - In: International Journal of Data Analysis Techniques and … 4 (2012) 4, pp. 340-377

Detecting duplicates in click data streams is an important task to fight against click fraud, which is the act of … advertising has grown tremendously over the years. In this paper, we consider the problem of detecting duplicates in click data … streams. Our solution uses a modified version of the counting Bloom filter. The temporal stateful Bloom filter (TSBF) extends …

Persistent link: https://www.econbiz.de/10010669754

Temporally adaptive estimation of logistic classifiers on data streams

Anagnostopoulos, Christoforos; Tasoulis, Dimitris; … - In: Advances in Data Analysis and Classification 3 (2009) 3, pp. 243-261

Persistent link: https://www.econbiz.de/10008491573

DETECTION AND CLASSIFICATION OF CHANGES IN EVOLVING DATA STREAMS

GABER, MOHAMED MEDHAT; YU, PHILIP S. - In: International Journal of Information Technology & … 05 (2006) 04, pp. 659-670

applications. Because of the high volume and speed of data streams, it is computationally hard to capture these changes from raw …

Persistent link: https://www.econbiz.de/10004977401