Learning discrete Bayesian network parameters from continuous data streams: What is the best strategy?

Journal of Applied Logic ◽

10.1016/j.jal.2015.03.007 ◽

2015 ◽

Vol 13 (4) ◽

pp. 628-642 ◽

Author(s):

Parot Ratnapinda ◽

Marek J. Druzdzel

Keyword(s):

Bayesian Network ◽

Data Streams ◽

Continuous Data ◽

Network Parameters

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Learning Bayesian network parameters under new monotonic constraints

Journal of Systems Engineering and Electronics ◽

10.21629/jsee.2017.06.22 ◽

2017 ◽

Vol 28 (6) ◽

pp. 1248

Keyword(s):

Bayesian Network ◽

Network Parameters

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Rethinking elastic online scheduling of big data streaming applications over high-velocity continuous data streams

The Journal of Supercomputing ◽

10.1007/s11227-017-2151-2 ◽

2017 ◽

Vol 74 (2) ◽

pp. 615-636 ◽

Author(s):

Dawei Sun ◽

Hongbin Yan ◽

Shang Gao ◽

Xunyun Liu ◽

Rajkumar Buyya

Keyword(s):

Big Data ◽

Data Streams ◽

High Velocity ◽

Online Scheduling ◽

Continuous Data ◽

Data Streaming ◽

Streaming Applications

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StreamFitter: A Real Time Linear Regression Analysis System for Continuous Data Streams

Database Systems for Advanced Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-20152-3_39 ◽

2011 ◽

pp. 458-461 ◽

Author(s):

Chandima Hewa Nadungodage ◽

Yuni Xia ◽

Fang Li ◽

Jaehwan John Lee ◽

Jiaqi Ge

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Real Time ◽

Data Streams ◽

Linear Regression Analysis ◽

Continuous Data ◽

Analysis System ◽

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An Efficient Incremental Indexing Mechanism for Extracting Top-k Representative Queries Over Continuous Data-streams

Proceedings of the 14th International Workshop on Adaptive and Reflective Middleware - ARM 2015 ◽

10.1145/2834965.2834975 ◽

2015 ◽

Author(s):

Y. S. Horawalavithana ◽

D. N. Ranasinghe

Keyword(s):

Data Streams ◽

Continuous Data ◽

Indexing Mechanism

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Abnormal Condition Identification Modeling Method Based on Bayesian Network Parameters Transfer Learning for the Electro-Fused Magnesia Smelting Process

IEEE Access ◽

10.1109/access.2019.2947499 ◽

2019 ◽

Vol 7 ◽

pp. 149764-149775 ◽

Author(s):

Ping Yuan ◽

Yufeng Sun ◽

Hui Li ◽

Fuli Wang ◽

Hongru Li

Keyword(s):

Bayesian Network ◽

Transfer Learning ◽

Modeling Method ◽

Smelting Process ◽

Network Parameters ◽

Abnormal Condition

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On-the-fly processing of continuous data streams with a pipeline of microprocessors

Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications ◽

10.1109/parbse.1990.77182 ◽

2002 ◽

Author(s):

S. Berkovich ◽

Z. Kitov ◽

A. Meltzer

Keyword(s):

Data Streams ◽

Continuous Data

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A new approach to enable gesture recognition in continuous data streams

2008 12th IEEE International Symposium on Wearable Computers ◽

10.1109/iswc.2008.4911581 ◽

2008 ◽

Author(s):

Andreas Zinnen ◽

Bernt Schiele

Keyword(s):

Gesture Recognition ◽

Data Streams ◽

Continuous Data ◽

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Exploiting punctuation semantics in continuous data streams

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2003.1198390 ◽

2003 ◽

Vol 15 (3) ◽

pp. 555-568 ◽

Author(s):

P.A. Tucker ◽

D. Maier ◽

T. Sheard ◽

L. Fegaras

Keyword(s):

Data Streams ◽

Continuous Data

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DemocraticOP: A Democratic way of aggregating Bayesian network parameters

International Journal of Approximate Reasoning ◽

10.1016/j.ijar.2012.12.002 ◽

2013 ◽

Vol 54 (5) ◽

pp. 602-614 ◽

Author(s):

Kobra Etminani ◽

Mahmoud Naghibzadeh ◽

Jose M. Peña

Keyword(s):

Bayesian Network ◽

Network Parameters

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Incremental updates of closed frequent itemsets over continuous data streams

Expert Systems with Applications ◽

10.1016/j.eswa.2007.12.054 ◽

2009 ◽

Vol 36 (2) ◽

pp. 2451-2458 ◽

Author(s):

Hua-Fu Li ◽

Chin-Chuan Ho ◽

Suh-Yin Lee

Keyword(s):

Data Streams ◽

Frequent Itemsets ◽

Continuous Data ◽

Closed Frequent Itemsets

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