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MATLAB Machine Learning Recipes A Problem-Solution Approach
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of... -
Quantum Computing by Practice Python Programming in the Cloud with Qiskit and IBM-Q
Learn to write algorithms and program in the new field of quantum computing. This second edition is updated to equip you with the latest knowledge...
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Hypothesis Generation and Interpretation Design Principles and Patterns for Big Data Applications
This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of... -
Information Systems 20th European, Mediterranean, and Middle Eastern Conference, EMCIS 2023, Dubai, United Arab Emirates, December 11-12, 2023, Proceedings, Part II
This book constitutes selected papers from the 20th European, Mediterranean, and Middle Eastern Conference, EMCIS 2023, which was held in Dubai, UAE,...
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Big Data Analytics Theory, Techniques, Platforms, and Applications
This book introduces readers to big data analytics. It covers the background to and the concepts of big data, big data analytics, and cloud...
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Web and Big Data 7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part I
The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023,...
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Web and Big Data 7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part III
The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023,...
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Tuning the Snowflake Data Cloud Optimizing Your Data Platform to Minimize Cost and Maximize Performance
This project-oriented book presents a hands-on approach to identifying migration and performance issues with experience drawn from real-world...
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Intelligent Systems and Data Science First International Conference, ISDS 2023, Can Tho, Vietnam, November 11–12, 2023, Proceedings, Part I
This two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023,... -
Intelligent Systems and Data Science First International Conference, ISDS 2023, Can Tho, Vietnam, November 11–12, 2023, Proceedings, Part II
This two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023,... -
Daten-Teams Ein einheitliches Managementmodell für erfolgreiche, datenorientierte Teams
Erfahren Sie, wie Sie erfolgreiche Big-Data-Projekte durchführen, wie Sie Ihre Teams mit Ressourcen ausstatten und wie die Teams miteinander arbeiten...
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PERTAD: Towards Pseudo Verification for Anomaly Detection in Partially Labeled Graphs
The graph-based anomaly detection task aims to identify nodes with patterns that deviate from those of the majority nodes in a large graph, where... -
URPWS: An Urban Road Ponding Monitoring and Warning System Based on Surveillance Video
Efficient and accurate monitoring urban ponding by surveillance video is of great significance to reduce the risk of inundation and urban traffic.... -
ACE-BERT: Adversarial Cross-Modal Enhanced BERT for E-Commerce Retrieval
Nowadays on E-commerce platforms, products usually contain multi-modal descriptions. To search related products from user-generated texture queries,... -
An Improved Method of Side Channel Leak Assessment for Cryptographic Algorithm
As a standard method of side channel leak assessment, TVLA is a popular research direction of side channel attack. TVLA mainly conducts leak... -
DCNS: A Double-Cache Negative Sampling Method for Improving Knowledge Graph Embedding
Negative sampling plays an important role in knowledge graph embedding. A high-quality negative sample can push the model training to the limit. Most... -
Efficient Multi-object Detection for Complexity Spatio-Temporal Scenes
Multi-Object detection in traffic scenarios plays a crucial role in ensuring the safety of people and property, as well as facilitating the smooth... -
Heterogeneous Graph Contrastive Learning with Dual Aggregation Scheme and Adaptive Augmentation
Heterogeneous graphs are ubiquitous in the real world, such as online shop** networks, academic citation networks, etc. Heterogeneous Graph Neural... -
CY-Apollo: A Multi-view Profile System for Complicated Network Attacks
With the fast development of information technologies, many new variants of complicated network attacks, characterized by high covert, persistence,... -
Cluster Keys
Cluster keys go hand in hand with micro-partitions. It may not be evident that all object micro-partitions have a cluster key, but they do....