Results 71 to 80 of about 868,270 (308)
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUASAN PELANGGAN ONLINE
Jurnal Manajemen & Agribisnis, 2011 The objectives of this study are to (1) analyze customer satisfaction with online shopping (2) determine factors influencing customer satisfactions with online shopping; (4) formulate strategies to increase customer satisfaction with online shopping ...
Amru Sahmono Boang Manalu +2 more
doaj +1 more source
Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method [PDF]
arXiv, 2021 Dictionary learning is a widely used unsupervised learning method in signal processing and machine learning. Most existing works of dictionary learning are in an offline manner. There are mainly two offline ways for dictionary learning. One is to do an alternative optimization of both the dictionary and the sparse code; the other way is to optimize the
arxiv
Advanced Engineering Materials, EarlyView.The combination of battery product and characterization ontology (BPCO) and domain knowledge guides hypotheses development and leads to new insights into material–property relationship of battery materials. The use of “intermediate data” is introduced as a concept, and examples are shown on its use to analyze the agglomeration of carbon black and its ...
Lisa Beran +5 more
wiley +1 more source
Unsupervised clustering of bitcoin transactions
Financial InnovationSince its inception in 2009, Bitcoin has become and is currently the most successful and widely used cryptocurrency. It introduced blockchain technology, which allows transactions that transfer funds between users to take place online, in an immutable ...
George Vlahavas +2 more
doaj +1 more source
Big data analytics in health care by data mining and classification techniques
ICT Express, 2022 Big data is the compilation of enormous data that arrives from diverse sources for instance online transaction details, social media, sensor data, etc. Such assortment of enormous data developed is tough to evaluate by conventional processing relevance’s.
Jayasri N.P., R. Aruna
doaj
EXPLORING THE POTENTIAL OF FEDERATED LEARNING TO EMPOWER CREDIT CARD FRAUDULENT TRANSACTION DETECTION WITH DEEP LEARNING TECHNIQUES [PDF]
Proceedings on Engineering SciencesThe rapid expansion of communication systems and computing technology has led to a significant increase in both traditional and online credit card transactions. Unfortunately, this surge has also resulted in a corresponding rise in fraudulent activities,
Chanda Sekhar Kolli +5 more
doaj +1 more source
To Vote Before Decide: A Logless One-Phase Commit Protocol for Highly-Available Datastores [PDF]
arXiv, 2017 Highly-available datastores are widely deployed for online applications. However, many online applications are not contented with the simple data access interface currently provided by highly-available datastores. Distributed transaction support is demanded by applications such as large-scale online payment used by Alipay or Paypal.
arxiv
Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach [PDF]
Transactions on Machine Learning Research, 2022, 2021 The challenge in the widely applicable online matching problem lies in making irrevocable assignments while there is uncertainty about future inputs. Most theoretically-grounded policies are myopic or greedy in nature. In real-world applications where the matching process is repeated on a regular basis, the underlying data distribution can be leveraged
arxiv
Advanced Engineering Materials, EarlyView.A novel metadata schema is introduced to address the sparsity of microstructure‐sensitive mechanical data. The design follows the material modeling workflow, as each run results in the definition of unique data objects. The schema includes categorical elements to ensure findability, accessibility, interoperability, and reusability (FAIR). This approach
Ronak Shoghi, Alexander Hartmaier
wiley +1 more source
No Silk Road for Online Gamers!: Using Social Network Analysis to Unveil Black Markets in Online Games [PDF]
arXiv, 2018 Online game involves a very large number of users who are interconnected and interact with each other via the Internet. We studied the characteristics of exchanging virtual goods with real money through processes called "real money trading (RMT)." This exchange might influence online game user behaviors and cause damage to the reputation of game ...
arxiv