Advanced Data Mining and Applications

The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011.

Advanced Data Mining and Applications

The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines.

Advanced Data Mining and Applications

This book constitutes the proceedings of the 16th International Conference on Advanced Data Mining and Applications, ADMA 2020, held in Foshan, China in November 2020.

Advanced Data Mining and Applications

This book constitutes the proceedings of the 16th International Conference on Advanced Data Mining and Applications, ADMA 2020, held in Foshan, China in November 2020. The 35 full papers presented together with 14 short papers papers were carefully reviewed and selected from 96 submissions. The papers were organized in topical sections named: Machine Learning; Text Mining; Graph Mining; Predictive Analytics; Recommender Systems; Privacy and Security; Query Processing; Data Mining Applications.

Advanced Data Mining and Applications

This book constitutes the proceedings of the 10th International Conference on Advanced Data Mining and Applications, ADMA 2014, held in Guilin, China during December 2014.

Advanced Data Mining and Applications

This book constitutes the proceedings of the 10th International Conference on Advanced Data Mining and Applications, ADMA 2014, held in Guilin, China during December 2014. The 48 regular papers and 10 workshop papers presented in this volume were carefully reviewed and selected from 90 submissions. They deal with the following topics: data mining, social network and social media, recommend systems, database, dimensionality reduction, advance machine learning techniques, classification, big data and applications, clustering methods, machine learning, and data mining and database.

Advanced Data Mining and Applications

Data. Mining. Applications. and. Systems. Tag Recommendation Based on Bayesian Principle ................... 191 Zhonghui Wang and Zhihong Deng Comparison of Different Methods to Fuse Theos Images............... 202 Silong Zhang and ...

Advanced Data Mining and Applications

This book constitutes the refereed proceedings of the 6th International Conference on Advanced Data Mining and Applications, ADMA 2010, held in Chongqing, China, in November 2010. 63 carefully reviewed regular papers and 55 revised short papers were presented. The papers are organized in topical sections on data mining foundations; data mining in specific areas; data mining methodologies and processes; and data mining applications and systems.

Advanced Data Mining and Applications

Chien, C.F., Chen, L.F.: Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry. Expert Systems and Applications 34, 280–290 (2008) 3. DeNisi, A.S., Griffin, R.W.: Human Resource ...

Advanced Data Mining and Applications

This book constitutes the refereed proceedings of the 5th International Conference on Advanced Data Mining and Applications, ADMA 2009, held in Beijing, China, in August 2009. The 34 revised full papers and 47 revised short papers presented together with the abstract of 4 keynote lectures were carefully reviewed and selected from 322 submissions from 27 countries. The papers focus on advancements in data mining and peculiarities and challenges of real world applications using data mining and feature original research results in data mining, spanning applications, algorithms, software and systems, and different applied disciplines with potential in data mining.

Advanced Data Mining and Applications

The knowledge of data mining should also be expanded to new applications. The 1st International Conference on Advanced Data Mining and Applications (ADMA 2005) aimed to bring together the experts on data mining throughout the world.

Advanced Data Mining and Applications

This book constitutes the refereed proceedings of the First International Conference on Advanced Data Mining and Applications, ADMA 2005, held in Wuhan, China in July 2005. The conference was focused on sophisticated techniques and tools that can handle new fields of data mining, e.g. spatial data mining, biomedical data mining, and mining on high-speed and time-variant data streams; an expansion of data mining to new applications is also strived for. The 25 revised full papers and 75 revised short papers presented were carefully peer-reviewed and selected from over 600 submissions. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.

Advanced Data Mining and Applications

The Third International Conference on Advanced Data Mining and Applications (ADMA) organized in Harbin, China continued the tradition already established by the first two ADMA conferences in Wuhan in 2005 and Xi'an in 2006.

Advanced Data Mining and Applications

This book constitutes the refereed proceedings of the Third International Conference on Advanced Data Mining and Applications, ADMA 2007, held in Harbin, China in August 2007. The papers focus on advancements in data mining and peculiarities and challenges of real world applications using data mining.

Advanced Data Mining and Applications

It poses new challenges for the data-mining research community to develop sophisticated data-mining algorithms as well as successful data-mining applications. For the purpose of promoting the original research in advanced data mining ...

Advanced Data Mining and Applications

The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines.

Advanced Data Mining and Applications

On November 12–14, 2020, the 16th International Conference on Advanced Data Mining and Applications (ADMA 2020) was held in Foshan, China. Researchers and practitioners, ranging from young to experienced, from around the world came to ...

Advanced Data Mining and Applications

This book constitutes the proceedings of the 16th International Conference on Advanced Data Mining and Applications, ADMA 2020, held in Foshan, China in November 2020. The 35 full papers presented together with 14 short papers papers were carefully reviewed and selected from 96 submissions. The papers were organized in topical sections named: Machine Learning; Text Mining; Graph Mining; Predictive Analytics; Recommender Systems; Privacy and Security; Query Processing; Data Mining Applications.

Advanced Data Mining and Applications

The 17th International Conference on Advanced Data Mining Applications (ADMA 2021) was held in Sydney, Australia, during February 2–4, 2022. Researchers and practitioners from around the world came together at this leading international ...

Advanced Data Mining and Applications


Advanced Data Mining and Applications

Early attempts to incorporate local data mining onto mobile devices included the 'Mobileminer' application [3] that provided a 'general purpose service' for mining frequent patterns, plus the 'acquisitional context engine' (ACE), ...

Advanced Data Mining and Applications

This book constitutes the proceedings of the 15th International Conference on Advanced Data Mining and Applications, ADMA 2019, held in Dalian, China in November 2019. The 39 full papers presented together with 26 short papers and 2 demo papers were carefully reviewed and selected from 170 submissions. The papers were organized in topical sections named: Data Mining Foundations; Classification and Clustering Methods; Recommender Systems; Social Network and Social Media; Behavior Modeling and User Profiling; Text and Multimedia Mining; Spatial-Temporal Data; Medical and Healthcare Data/Decision Analytics; and Other Applications.

Advanced Data Mining and Applications

Big time series data are generated daily by various application domains such as environment monitoring, internet of things, health care, industry and science. Mining this massive data is a very challenging task because conventional data ...

Advanced Data Mining and Applications

This book constitutes the refereed proceedings of the 14th International Conference on Advanced Data Mining and Applications, ADMA 2018, held in Nanjing, China in November 2018. The 23 full and 22 short papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers were organized in topical sections named: Data Mining Foundations; Big Data; Text and Multimedia Mining; Miscellaneous Topics.

Advanced Data Mining and Applications

It is our great pleasure to introduce the proceedings of the 13th International Conference on Advanced Data Mining and Applications (ADMA). ADMA aims at bringing together data mining researchers from around the world, ...

Advanced Data Mining and Applications

This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017. The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers were organized in topical sections named: database and distributed machine learning; recommender system; social network and social media; machine learning; classification and clustering methods; behavior modeling and user profiling; bioinformatics and medical data analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos.

Advanced Data Mining and Applications

Data. Mining. Applications. Integrating Data Mining and Optimization Techniques on Surgery Scheduling . ... Privacy Preserving Table of Contents XVII Data Mining Applications Search and Retrieval Information Recommendation and Hidding.

Advanced Data Mining and Applications

This book constitutes the refereed proceedings of the 8th International Conference on Advanced Data Mining and Applications, ADMA 2012, held in Nanjing, China, in December 2012. The 32 regular papers and 32 short papers presented in this volume were carefully reviewed and selected from 168 submissions. They are organized in topical sections named: social media mining; clustering; machine learning: algorithms and applications; classification; prediction, regression and recognition; optimization and approximation; mining time series and streaming data; Web mining and semantic analysis; data mining applications; search and retrieval; information recommendation and hiding; outlier detection; topic modeling; and data cube computing.

Advanced Data Mining and Applications

Training a classifier with imbalanced dataset where there are more data from the majority class than the minority class is a known problem in data mining research community. The resultant classifier would become under-fitted in ...

Advanced Data Mining and Applications

This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held in Gold Coast, Australia, in December 2016. The 70 papers presented in this volume were carefully reviewed and selected from 105 submissions. The selected papers covered a wide variety of important topics in the area of data mining, including parallel and distributed data mining algorithms, mining on data streams, graph mining, spatial data mining, multimedia data mining, Web mining, the Internet of Things, health informatics, and biomedical data mining.

Advanced Data Mining and Applications

Data mining application to syndrome differentiation in traditional Chinese medicine. In: 7th International Conference on Parallel and Distributed Computing, Application and Technologies, pp. 128–131.

Advanced Data Mining and Applications

The two-volume set LNAI 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013. The 32 regular papers and 64 short papers presented in these two volumes were carefully reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning.

Advanced Data Mining and Applications

In the trajectory mining near road intersection, what we concerned is which roads and lanes the trajectory connects, so the middle part of trajectory can be ignored. The selected trajectories can be simplified as: 1 2 (, ,.

Advanced Data Mining and Applications

The Fourth International Conference on Advanced Data Mining and Applications (ADMA 2008) will be held in Chengdu, China, followed by the last three successful ADMA conferences (2005 in Wu Han, 2006 in Xi'an, and 2007 Harbin). Our major goal of ADMA is to bring together the experts on data mining in the world, and to provide a leading international forum for the dissemination of original research results in data mining, including applications, algorithms, software and systems, and different disciplines with potential applications of data mining. This goal has been partially achieved in a very short time despite the young age of the conference, thanks to the rigorous review process insisted upon, the outstanding list of internationally renowned keynote speakers and the excellent program each year. ADMA is ranked higher than, or very similar to, other data mining conferences (such as PAKDD, PKDD, and SDM) in early 2008 by an independent source: cs-conference-ranking. org. This year we had the pleasure and honor to host illustrious keynote speakers. Our distinguished keynote speakers are Prof. Qiang Yang and Prof. Jiming Liu. Prof. Yang is a tenured Professor and postgraduate studies coordinator at Computer Science and Engineering Department of Hong Kong University of Science and Technology. He is also a member of AAAI, ACM, a senior member of the IEEE, and he is also an as- ciate editor for the IEEE TKDE and IEEE Intelligent Systems, KAIS and WI Journals.

Advanced Data Mining Techniques

This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts.

Advanced Data Mining Techniques

This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining.

Advanced Data Mining Technologies in Bioinformatics

This book wishes to cover advanced data mining technologies in solving such problems. ... computer science, computer engineering, or management information system (MIS) with interests in data mining and applications to bioinformatics.

Advanced Data Mining Technologies in Bioinformatics

"This book covers research topics of data mining on bioinformatics presenting the basics and problems of bioinformatics and applications of data mining technologies pertaining to the field"--Provided by publisher.

Dynamic and Advanced Data Mining for Progressing Technological Development Innovations and Systemic Approaches

Boca Raton, FL, USA: CRC Press. Kordic, S., Lam, P., Xiao, J., & Li, H. (2008). Analysis of Alarm Sequences in a Chemical Plant. In Proceedings of the 4th international conference on Advanced Data Mining and Applications (Vol. 5139, pp.

Dynamic and Advanced Data Mining for Progressing Technological Development  Innovations and Systemic Approaches

"This book discusses advances in modern data mining research in today's rapidly growing global and technological environment"--Provided by publisher.