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Real-Time Business Intelligence and Analytics
  • Language: en
  • Pages: 241

Real-Time Business Intelligence and Analytics

This book constitutes the thoroughly refereed conference proceedings of the BIRTE workshops listed below, which were held in in conjunction with VLDB, the International Conference on Very Large Data Bases: 9th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2015, held in Kohala Coast, Hawaii, in August 2015, 10th International Workshop on Enabling Real-Time Business Intelligence, BIRTE 2016, held in New Delhi, India, in September 2016, 11th International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2017, held in Munich, Germany, in August 2017. The BIRTE workshop series provides a forum for the discussion and advancement of the science and engineering enabling real-time business intelligence and the novel applications that build on these foundational techniques. The book includes five selected papers from BIRTE 2015; five selected papers from BIRTE 2016; and three selected papers from BIRTE 2017.

Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 724

Machine Learning and Knowledge Discovery in Databases

  • Type: Book
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  • Published: 2019-01-17
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  • Publisher: Springer

The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learning; ensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.

Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 883

Machine Learning and Knowledge Discovery in Databases

  • Type: Book
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  • Published: 2019-01-22
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  • Publisher: Springer

The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.

Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 850

Machine Learning and Knowledge Discovery in Databases

  • Type: Book
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  • Published: 2016-09-03
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  • Publisher: Springer

The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.

Machine Learning and Data Mining for Sports Analytics
  • Language: en
  • Pages: 206

Machine Learning and Data Mining for Sports Analytics

None

Advanced Location-Based Technologies and Services
  • Language: en
  • Pages: 355

Advanced Location-Based Technologies and Services

  • Type: Book
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  • Published: 2016-04-19
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  • Publisher: CRC Press

Since the publication of the first edition in 2004, advances in mobile devices, positioning sensors, WiFi fingerprinting, and wireless communications, among others, have paved the way for developing new and advanced location-based services (LBSs). This second edition provides up-to-date information on LBSs, including WiFi fingerprinting, mobile computing, geospatial clouds, geospatial data mining, location privacy, and location-based social networking. It also includes new chapters on application areas such as LBSs for public health, indoor navigation, and advertising. In addition, the chapter on remote sensing has been revised to address advancements.

Optimizing Play
  • Language: en
  • Pages: 201

Optimizing Play

  • Type: Book
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  • Published: 2024-05-14
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  • Publisher: MIT Press

An unexpected take on how games work, what the stakes are for them, and how game designers can avoid the traps of optimization. The process of optimization in games seems like a good thing—who wouldn’t want to find the most efficient way to play and win? As Christopher Paul argues in Optimizing Play, however, optimization can sometimes risk a tragedy of the commons, where actions that are good for individuals jeopardize the overall state of the game for everyone else. As he explains, players inadvertently limit play as they theorycraft, seeking optimal choices. The process of developing a meta, or the most effective tactic available, structures decision making, causing play to stagnate. ...

Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 904

Machine Learning and Knowledge Discovery in Databases

  • Type: Book
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  • Published: 2012-09-08
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  • Publisher: Springer

This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionalit...

AI and Machine Learning for Network and Security Management
  • Language: en
  • Pages: 308

AI and Machine Learning for Network and Security Management

AI AND MACHINE LEARNING FOR NETWORK AND SECURITY MANAGEMENT Extensive Resource for Understanding Key Tasks of Network and Security Management AI and Machine Learning for Network and Security Management covers a range of key topics of network automation for network and security management, including resource allocation and scheduling, network planning and routing, encrypted traffic classification, anomaly detection, and security operations. In addition, the authors introduce their large-scale intelligent network management and operation system and elaborate on how the aforementioned areas can be integrated into this system, plus how the network service can benefit. Sample ideas covered in thi...

Cultural Economies of Locative Media
  • Language: en
  • Pages: 321

Cultural Economies of Locative Media

  • Type: Book
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  • Published: 2019
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  • Publisher: Unknown

Location, location-awareness, and location data have all become familiar and increasingly significant parts of our everyday mobile-mediated experiences. Cultural Economies of Locative Media examines the ways in which location-based services, such as GPS-enabled mobile smartphones, are socially, culturally, economically, and politically produced just as much as they are technically designed and manufactured. Rowan Wilken explores the complex interrelationships that mutually define new business models and the economic factors that emerge around, and structure, locative media services. Further, he offers readers insight into the diverse social uses, cultures of consumption, and policy implications of location, providing a detailed, critical account of contemporary location-sensitive mobile data. Cultural Economies of Locative Media delves into the ideas, technologies, contexts, and power relationships that define this scholarship, resulting in a rich portrait of locative media in all of its cultural and economic complexity.