Muutke küpsiste eelistusi

E-raamat: Big Data: 12th CCF Conference, BigData 2024, Qingdao, China, August 9-11, 2024, Proceedings

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
Teised raamatud teemal:
  • Formaat - PDF+DRM
  • Hind: 80,26 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
Big Data: 12th CCF Conference, BigData 2024, Qingdao, China, August 9-11, 2024, ProceedingsSuurem pilt
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book constitutes the refereed proceedings of the 12th CCF Conference on BigData 2024, which took place in Qingdao, China, in August 2024 to This book constitutes the refereed proceedings of the 12th CCF Conference on BigData 2024, which took place in Qingdao, China, during 9-11 August, 2024.





The 26 full papers presented in this volume were carefully reviewed and selected from 219 submissions. The topics of accepted papers include Big data, Data Science, System Architecture and Infrastructure, Storage Management, Parallel Computing, Analysis Mining and Intelligent Computing, Collection and Preprocessing, Governance.
Flexible Knowledge Graph Error Detection Framework Combined with
Semantic Information.- Session-level Normalization and Click-through Data
Enhancement for Session-based Evaluation.- A Multi-Dimensional Early Warning
Mechanism for Biological Invasions: A Case Study of Vespa Mandarinia.-
DLP-FR: Learning Predictable Degradation for Robust Blind Face Restoration.-
A joint relation extraction model utilizing message passing mechanism for
feature fusion to alleviate FN problem from distant supervision.- Urban
Traffic Management: A Predictive Approach Using Mobile Phone Data.- FedPSED:
Federated Public Safety Emergency Detection Based on Adaptive Aggregation
Strategy.- Evaluation of Retrieval-Augmented Generation: A Survey.- CMNet:
Fast Time Series Forecasting Based on Hybrid Convolution-MLP Architecture.- A
Domain Adaptive Based Reinforcement Learning Algorithm for Job Shop
Scheduling Problems.- Large-scale Data Generation Using SWLBM on the Sunway
TaihuLight Supercomputer and Subsequent Data Mining with Physics-Informed
Neural Networks.- Enhancing Interaction Graph of Data Schema and Syntactic
Structure with Pre-trained Language Model for Text-to-SQL.- Spatial Evolution
Analysis of the Level of Digital Economy Development in China.- Predicting
Calibrated Conversion Rate of Online Advertising Using a Multi-Task
Mixture-of-Experts Calibration Model.- A Transformer-based Spatio-temporal
Graph Neural Network for Anomaly Detection on Dynamic Graphs.- Morphological
Semantic Ensemble Filtering of Massive Sentence Pairs for Neural Machine
Translation.- Improving Event-Level Financial Sentiment Analysis with
Retrieval-Augmented Multipath Chain-of-Thought Prompting.- POSRho:Efficient
Spearmans Rho Calculation for Big Data.- A Fusion Tuning Method for Named
Entity Recognition.- Design of AXI Bus-Based IP Core for Image Processing.-
Automated Clinical Summary Generation Via Integrating Structured and
Unstructured Data.- A Review on Deep Learning for Sequential Recommendation
Systems: Key Technologies and Directions.- TrajUT: Intruder Trajectory
Recovery on Utility Tunnel via Video Surveillance Systems.- Spatio-temporal
Graph Fusion Network-based Multivariate Time Series Forecasting of
Environmental Factors in Utility Tunnels.- Improving spatial co-location
pattern mining with enhanced neighbor relationship measures.- PFG: Generation
of Paper-Style Handwritten Formulas for Enhancing Handwritten Mathematical
Expression Recognition.
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97898196102422e.html