Interactive Event Driven Knowledge Discovery From Data Streams


Interactive Event Driven Knowledge Discovery From Data Streams
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Interactive Event Driven Knowledge Discovery From Data Streams


Interactive Event Driven Knowledge Discovery From Data Streams
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Author : Laleh Jalali
language : en
Publisher:
Release Date : 2016-09

Interactive Event Driven Knowledge Discovery From Data Streams written by Laleh Jalali and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09 with categories.


With the proliferation of sensor data, a critical challenge is to interpret and extract knowledge from large-scale heterogeneous observational data. Most of the existing knowledge discovery frameworks relay on data mining techniques to extract interesting patterns. The problem of finding such patterns is NP-complete and the property of interestingness is not monotone since a pattern may be interesting, even if its sub-patterns are not. In this book a framework for interactive knowledge discovery from heterogeneous high-dimensional temporal data is presented. First, a high-level pattern formulation language is introduced. The language consists of an event model for fusing and abstracting data streams, a time model for representing temporal relations, and a set of expressive operators for formulating patterns. Based on these operators, a visual and interactive framework is designed that combines data-driven and hypothesis-driven analyses.



Advances In Knowledge Discovery And Data Mining


Advances In Knowledge Discovery And Data Mining
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Author : Wee Keong Ng
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-31

Advances In Knowledge Discovery And Data Mining written by Wee Keong Ng and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-31 with Computers categories.


This book constitutes the refereed proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2006, held in Singapore in April 2006. The 67 revised full papers and 33 revised short papers presented together with 3 invited talks were carefully reviewed and selected from 501 submissions. The papers are organized in topical sections on Classification, Ensemble Learning, Clustering, Support Vector Machines, Text and Document Mining, Web Mining, Bio-Data Mining, and more.



Knowledge Discovery From Data Streams


Knowledge Discovery From Data Streams
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Author : Joao Gama
language : en
Publisher: CRC Press
Release Date : 2010-05-25

Knowledge Discovery From Data Streams written by Joao Gama and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-25 with Business & Economics categories.


Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents



Advances In Knowledge Discovery And Data Mining


Advances In Knowledge Discovery And Data Mining
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Author : Kamal Karlapalem
language : en
Publisher: Springer Nature
Release Date : 2021-05-08

Advances In Knowledge Discovery And Data Mining written by Kamal Karlapalem and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-08 with Computers categories.


The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.



Machine Learning And Knowledge Discovery In Databases


Machine Learning And Knowledge Discovery In Databases
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Author : Massih-Reza Amini
language : en
Publisher: Springer Nature
Release Date : 2023-03-17

Machine Learning And Knowledge Discovery In Databases written by Massih-Reza Amini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-17 with Computers categories.


The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022. The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track.



Event Mining


Event Mining
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Author : Tao Li
language : en
Publisher: CRC Press
Release Date : 2015-10-15

Event Mining written by Tao Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-15 with Business & Economics categories.


Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefore, plays an important role in data-driven system management. Event Mining: Algorithms and Applications presents state-of-the-art event mining approaches and applications with a focus on computing sys



Database Systems For Advanced Applications


Database Systems For Advanced Applications
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Author : Chengfei Liu
language : en
Publisher: Springer
Release Date : 2018-05-12

Database Systems For Advanced Applications written by Chengfei Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-12 with Computers categories.


This book constitutes the workshop proceedings of the 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, held in Gold Coast, QLD, Australia, in May 2018. The 23 full papers presented were carefully selected and reviewed from 44 submissions to the four following workshops: the 5th International Workshop on Big Data Management and Service, BDMS 2018; the Third International Workshop on Big Data Quality Management, BDQM 2018; the Second International Workshop on Graph Data Management and Analysis, GDMA 2018; and the 5th International Workshop on Semantic Computing and Personalization, SeCoP 2018.



Computational Finance And Its Applications Ii


Computational Finance And Its Applications Ii
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Author : M. Costantino
language : en
Publisher: WIT Press
Release Date : 2006

Computational Finance And Its Applications Ii written by M. Costantino and has been published by WIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Business & Economics categories.


Featuring papers from the Second International Conference on Computational Finance and its Applications, the text includes papers that encompass a wide range of topics such as risk management, derivatives pricing, credit risk, trading strategies, portfolio management and asset allocation, and market analysis.



Learning From Data Streams


Learning From Data Streams
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Author : João Gama
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-20

Learning From Data Streams written by João Gama and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-20 with Computers categories.


Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. Applications in security, the natural sciences, and education are presented. The huge bibliography offers an excellent starting point for further reading and future research.



Data Driven Process Discovery And Analysis


Data Driven Process Discovery And Analysis
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Author : Paolo Ceravolo
language : en
Publisher: Springer
Release Date : 2017-01-20

Data Driven Process Discovery And Analysis written by Paolo Ceravolo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-20 with Computers categories.


This book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015. The 8 papers presented in this volume were carefully reviewed and selected from 22 submissions. They cover theoretical issues related to process representation, discovery and analysis, or provide practical and operational experiences in process discovery and analysis. They focus mainly on the adoption of process mining algorithms in conjunction and coordination with other techniques and methodologies.