Information Systems Frontiers最新文献_第10页

Data Ingestion Validation Through Stable Conditional Metrics with Ranking and Filtering 通过具有排序和过滤功能的稳定条件度量对数据输入进行验证

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-07-05 DOI: 10.1007/s10796-024-10504-y

Niels Bylois, Frank Neven, Stijn Vansummeren

{"title":"Data Ingestion Validation Through Stable Conditional Metrics with Ranking and Filtering","authors":"Niels Bylois, Frank Neven, Stijn Vansummeren","doi":"10.1007/s10796-024-10504-y","DOIUrl":"https://doi.org/10.1007/s10796-024-10504-y","url":null,"abstract":"We introduce an advanced method for validating data quality, which is crucial for ensuring reliable analytics insights. Traditional data quality validation relies on data unit tests, which use global metrics to determine if data quality falls within expected ranges. Unfortunately, these existing approaches suffer from two limitations. Firstly, they offer only coarse-grained assessments, missing fine-grained errors. Secondly, they fail to pinpoint the specific data causing test failures. To address these issues, we propose a novel approach using conditional metrics, enabling more detailed analysis than global metrics. Our method involves two stages: unit test discovery and monitoring/error identification. In the discovery phase, we derive conditional metric-based unit tests from historical data, focusing on stability to select appropriate metrics. The monitoring phase involves using these tests for new data batches, with conditional metrics helping us identify potential errors. We validate the effectiveness of this approach using two datasets and seven synthetic error scenarios, showing significant improvements over global metrics and promising results in fine-grained error detection for data ingestion validation.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"22 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141546008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Making It Possible for the Auditing of AI: A Systematic Review of AI Audits and AI Auditability 让人工智能审计成为可能：对人工智能审计和人工智能可审计性的系统回顾

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-07-02 DOI: 10.1007/s10796-024-10508-8

Yueqi Li, Sanjay Goel

引用次数: 0

Comparing and Improving Active Learning Uncertainty Measures for Transformer Models by Discarding Outliers 通过剔除异常值比较和改进变压器模型的主动学习不确定性测量方法

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-06-26 DOI: 10.1007/s10796-024-10503-z

Julius Gonsior, Christian Falkenberg, Silvio Magino, Anja Reusch, Claudio Hartmann, Maik Thiele, Wolfgang Lehner

{"title":"Comparing and Improving Active Learning Uncertainty Measures for Transformer Models by Discarding Outliers","authors":"Julius Gonsior, Christian Falkenberg, Silvio Magino, Anja Reusch, Claudio Hartmann, Maik Thiele, Wolfgang Lehner","doi":"10.1007/s10796-024-10503-z","DOIUrl":"https://doi.org/10.1007/s10796-024-10503-z","url":null,"abstract":"Despite achieving state-of-the-art results in nearly all Natural Language Processing applications, fine-tuning Transformer-encoder based language models still requires a significant amount of labeled data to achieve satisfying work. A well known technique to reduce the amount of human effort in acquiring a labeled dataset is Active Learning (AL): an iterative process in which only the minimal amount of samples is labeled. AL strategies require access to a quantified confidence measure of the model predictions. A common choice is the softmax activation function for the final Neural Network layer. In this paper, we compare eight alternatives on seven datasets and show that the softmax function provides misleading probabilities. Our finding is that most of the methods primarily identify hard-to-learn-from samples (commonly called outliers), resulting in worse than random performance, instead of samples, which actually reduce the uncertainty of the learned language model. As a solution, this paper proposes Uncertainty-Clipping, a heuristic to systematically exclude samples, which results in improvements for most methods compared to the softmax function.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"27 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141452945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Combating Fake News Using Implementation Intentions 利用实施意图打击假新闻

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-06-26 DOI: 10.1007/s10796-024-10502-0

Inaiya Armeen, Ross Niswanger, Chuan (Annie) Tian

{"title":"Combating Fake News Using Implementation Intentions","authors":"Inaiya Armeen, Ross Niswanger, Chuan (Annie) Tian","doi":"10.1007/s10796-024-10502-0","DOIUrl":"https://doi.org/10.1007/s10796-024-10502-0","url":null,"abstract":"The rise of misinformation on social media platforms is an extremely worrisome issue and calls for the development of interventions and strategies to combat fake news. This research investigates one potential mechanism that can help mitigate fake news: prompting users to form implementation intentions along with education. Previous research suggests that forming “if – then” plans, otherwise known as implementation intentions, is one of the best ways to facilitate behavior change. To evaluate the effectiveness of such plans, we used MTurk to conduct an experiment where we educated participants on fake news and then asked them to form implementation intentions about performing fact checking before sharing posts on social media. Participants who had received both the implementation intention intervention and the educational intervention significantly engaged more in fact checking behavior than those who did not receive any intervention as well as participants who had received only the educational intervention. This study contributes to the emerging literature on fake news by demonstrating that implementation intentions can be used in interventions to combat fake news.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"17 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141453099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Skyline-based Exploration of Temporal Property Graphs 基于天际线的时态属性图探索

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-06-26 DOI: 10.1007/s10796-024-10505-x

Evangelia Tsoukanara, Georgia Koloniari, Evaggelia Pitoura

引用次数: 0

Exploiting Shared Sub-Expression and Materialized View Reuse for Multi-Query Optimization 利用共享子表达式和物化视图重用实现多查询优化

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-06-25 DOI: 10.1007/s10796-024-10506-w

Bala Gurumurthy, Vasudev Raghavendra Bidarkar, David Broneske, Thilo Pionteck, Gunter Saake

{"title":"Exploiting Shared Sub-Expression and Materialized View Reuse for Multi-Query Optimization","authors":"Bala Gurumurthy, Vasudev Raghavendra Bidarkar, David Broneske, Thilo Pionteck, Gunter Saake","doi":"10.1007/s10796-024-10506-w","DOIUrl":"https://doi.org/10.1007/s10796-024-10506-w","url":null,"abstract":"Querying in isolation lacks the potential of reusing intermediate results, which ends up wasting computational resources. Multi-Query Optimization (MQO) addresses this challenge by devising a shared execution strategy across queries, with two generally used strategies: batched or cached. These strategies are shown to improve performance, but hardly any study explores the combination of both. In this work we explore such a hybrid MQO, combining batching (Shared Sub-Expression) and caching (Materialized View Reuse) techniques. Our hybrid-MQO system merges batched query results as well as caches the intermediate results, thereby any new query is given a path within the previous plan as well as reusing the results. Since caching is a key component for improving performance, we measure the impact of common caching techniques such as FIFO, LRU, MRU and LFU. Our results show LRU to be the optimal for our usecase, which we use in our subsequent evaluations. To study the influence of batching, we vary the factor - derivability - which represents the similarity of the results within a query batch. Similarly, we vary the cache sizes to study the influence of caching. Moreover, we also study the role of different database operators in the performance of our hybrid system. The results suggest that, depending on the individual operators, our hybrid method gains a speed-up between 4x to a slowdown of 2x from using MQO techniques in isolation. Furthermore, our results show that workloads with a generously sized cache that contain similar queries benefit from using our hybrid method, with an observed speed-up of 2x over sequential execution in the best case.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"1 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141448351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Economic Framework for Creating AI-Augmented Solutions Across Countries Over Time 各国随时间推移创建人工智能增强型解决方案的经济框架

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-06-24 DOI: 10.1007/s10796-024-10487-w

Jin Sik Kim, Jinsoo Yeo, Hemant Jain

引用次数: 0

Modelling forest fire dynamics using conditional variational autoencoders 利用条件变异自动编码器建立林火动态模型

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-06-24 DOI: 10.1007/s10796-024-10507-9

Tiago Filipe Rodrigues Ribeiro, Fernando José Mateus da Silva, Rogério Luís de Carvalho Costa

{"title":"Modelling forest fire dynamics using conditional variational autoencoders","authors":"Tiago Filipe Rodrigues Ribeiro, Fernando José Mateus da Silva, Rogério Luís de Carvalho Costa","doi":"10.1007/s10796-024-10507-9","DOIUrl":"https://doi.org/10.1007/s10796-024-10507-9","url":null,"abstract":"Forest fires have far-reaching consequences, threatening human life, economic stability, and the environment. Understanding the dynamics of forest fires is crucial, especially in high-incidence regions. In this work, we apply deep networks to simulate the spatiotemporal progression of the area burnt in a forest fire. We tackle the region interpolation problem challenge by using a Conditional Variational Autoencoder (CVAE) model and generate in-between representations on the evolution of the burnt area. We also apply a CVAE model to forecast the progression of fire propagation, estimating the burnt area at distinct horizons and propagation stages. We evaluate our approach against other established techniques using real-world data. The results demonstrate that our method is competitive in geometric similarity metrics and exhibits superior temporal consistency for in-between representation generation. In the context of burnt area forecasting, our approach achieves scores of 90% for similarity and 99% for temporal consistency. These findings suggest that CVAE models may be a viable alternative for modeling the spatiotemporal evolution of 2D moving regions of forest fire evolution.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"54 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141444896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Value of Original and Generated Ultrasound Data Towards Training Robust Classifiers for Breast Cancer Identification 原始和生成的超声波数据对训练用于乳腺癌鉴定的鲁棒分类器的价值

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-06-12 DOI: 10.1007/s10796-024-10499-6

Bianca-Ştefania Munteanu, Alexandra Murariu, Mǎrioara Nichitean, Luminiţa-Gabriela Pitac, Laura Dioşan

{"title":"Value of Original and Generated Ultrasound Data Towards Training Robust Classifiers for Breast Cancer Identification","authors":"Bianca-Ştefania Munteanu, Alexandra Murariu, Mǎrioara Nichitean, Luminiţa-Gabriela Pitac, Laura Dioşan","doi":"10.1007/s10796-024-10499-6","DOIUrl":"https://doi.org/10.1007/s10796-024-10499-6","url":null,"abstract":"Breast cancer represents one of the leading causes of death among women, with 1 in 39 (around 2.5%) of them losing their lives annually, at the global level. According to the American Cancer Society, it is the second most lethal type of cancer in females, preceded only by lung cancer. Early diagnosis is crucial in increasing the chances of survival. In recent years, the incidence rate has increased by 0.5% per year, with 1 in 8 women at increased risk of developing a tumor during their life. Despite technological advances, there are still difficulties in identifying, characterizing, and accurately monitoring malignant tumors. The main focus of this article is on the computerized diagnosis of breast cancer. The main objective is to solve this problem using intelligent algorithms, that are built with artificial neural networks and involve 3 important steps: augmentation, segmentation, and classification. The experiment was made using a publicly available dataset that contains medical ultrasound images, collected from approximately 600 female patients (it is considered a benchmark). The results of the experiment are close to the goal set by our team. The final accuracy obtained is 86%.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"1 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141309086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Consumers’ Financial Distress: Prediction and Prescription Using Interpretable Machine Learning 消费者的财务困境：利用可解释的机器学习进行预测和开药方

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-06-11 DOI: 10.1007/s10796-024-10501-1

Hendrik de Waal, Serge Nyawa, Samuel Fosso Wamba

引用次数: 0