標題: Titlebook: Database and Expert Systems Applications; 29th International C Sven Hartmann,Hui Ma,Roland R. Wagner Conference proceedings 2018 Springer N [打印本頁] 作者: 貪污 時間: 2025-3-21 17:27
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書目名稱Database and Expert Systems Applications網(wǎng)絡公開度學科排名
書目名稱Database and Expert Systems Applications被引頻次
書目名稱Database and Expert Systems Applications被引頻次學科排名
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書目名稱Database and Expert Systems Applications年度引用學科排名
書目名稱Database and Expert Systems Applications讀者反饋
書目名稱Database and Expert Systems Applications讀者反饋學科排名
作者: Conquest 時間: 2025-3-21 22:32 作者: Exuberance 時間: 2025-3-22 03:42
CROP: An Efficient Cross-Platform Event Popularity Prediction Model for Online Media and explore the slot matching of event time series in diverse platforms. Moreover, we first define the aggregated popularity for the feature construction of event popularity prediction model. Finally, extensive experiments based on events data show that CROP achieves great improvement for predicting accuracy over other baseline approaches.作者: Noisome 時間: 2025-3-22 08:36 作者: 加劇 時間: 2025-3-22 12:33 作者: tympanometry 時間: 2025-3-22 13:28 作者: tympanometry 時間: 2025-3-22 19:56
Continuous Media with Microstructureve an efficient algorithm based on dynamic programming to mine itemsets in a simplified version of this model. Our experimental results show that assuming independence in correlated data sets leads to substantially incorrect results.作者: exhilaration 時間: 2025-3-23 00:09
Monika W?growska,Olga Szlachetkanotion of early information. We explore this option by first building a model of early information. The concepts of this model are used in developing an automated conflict resolution mechanism for integration of early information. Finally, we propose an algorithm for the conversion of integrated early requirements into its multi-dimensional form.作者: 新義 時間: 2025-3-23 03:22 作者: 合同 時間: 2025-3-23 06:46
Conference proceedings 2018tems Applications, DEXA 2018, held in Regensburg, Germany, in September 2018..The 35 revised full papers presented together with 40 short papers were carefully reviewed and selected from 160 submissions. The papers of the first volume discuss a range of topics including: Big data analytics; data int作者: pantomime 時間: 2025-3-23 09:45 作者: Expand 時間: 2025-3-23 17:52
Arkadi Berezovski,Mihhail Berezovskitegration of data relationships by (a)?generating meaningful correctness probabilities for claims of data items, and (b)?ensuring that the multiple correct claims output by the fusion models were consistent with each other. Our approach outperforms state-of-the-art algorithms that consider the presence of relationships over claims of data items.作者: nettle 時間: 2025-3-23 18:16
https://doi.org/10.1007/978-3-319-12670-8examine more lightweight data marts in an infrastructure which can support on-demand queries. We focus on the construction of data marts which combine both enterprise and web data, and present an evaluation which verifies the transformation process from source to data mart.作者: 社團 時間: 2025-3-23 23:29
Parameter Free Mixed-Type Density-Based Clusteringappropriate for both categorical and numerical attributes. However setting the parameters regarding any parametric clustering algorithm could be another issue. Therefore we employ minimum description length principle to automate this process.作者: 徹底明白 時間: 2025-3-24 05:37 作者: Herbivorous 時間: 2025-3-24 08:57
Combining Web and Enterprise Data for Lightweight Data Mart Constructionexamine more lightweight data marts in an infrastructure which can support on-demand queries. We focus on the construction of data marts which combine both enterprise and web data, and present an evaluation which verifies the transformation process from source to data mart.作者: musicologist 時間: 2025-3-24 12:27 作者: Type-1-Diabetes 時間: 2025-3-24 15:01 作者: Itinerant 時間: 2025-3-24 21:40 作者: giggle 時間: 2025-3-25 01:34
0302-9743 Expert Systems Applications, DEXA 2018, held in Regensburg, Germany, in September 2018..The 35 revised full papers presented together with 40 short papers were carefully reviewed and selected from 160 submissions. The papers of the first volume discuss a range of topics including: Big data analytics作者: Subjugate 時間: 2025-3-25 05:38 作者: 上釉彩 時間: 2025-3-25 10:41
Charles Pearce,Yalcin Kaya,Selma Belenection techniques fall short in considering continuous data processing. Thus, this paper aligns an anomaly detection technique for data stream processing. It thereby provides a conceptual basis for future adaption of other techniques and further delivers proof of concept by prototype implementation.作者: IOTA 時間: 2025-3-25 13:27 作者: 厭倦嗎你 時間: 2025-3-25 16:11 作者: 補充 時間: 2025-3-25 21:03
Continuous Media with Microstructureure selection, and a new .NN classifier brings the highest classification accuracy on a challenging dataset with 130 classes. Moreover, the proposed approach can promptly react to changing training data without any need for a retraining process.作者: 晚間 時間: 2025-3-26 01:10 作者: 縮短 時間: 2025-3-26 05:43
Vaithilingam Jeyakumar,Alexander Rubinov again. We assume that if we continue instigating this loop, the accuracy of the classifier will improve, and we will obtain useful information without having to specify keywords. Experimental results demonstrated that our proposed system is effective for filtering social media streams. Moreover, we作者: Detonate 時間: 2025-3-26 11:49
Semigroups of Holomorphic Functionstions on their need to take a medical test or not on the coming day based on the analysis of their medical data. A real-life time series dataset is used for experimental evaluation. The experimental results show that the proposed system yields very good recommendation accuracy and can effectively re作者: 澄清 時間: 2025-3-26 13:22
Template Trees: Extracting Actionable Information from Machine Generated Emailsree..Our experiments over real data show, structure of the core region of the email, containing all the information of our interest, is very simple and it is 85%–98% smaller compared to the original email. Further, our experiments also show that the template trees are highly repetitive across divers作者: 有效 時間: 2025-3-26 18:01 作者: 溫順 時間: 2025-3-26 21:23
A Fuzzy Unified Framework for Imprecise Knowledgege type if they were multi-valued. Our proposal offer a high flexibility to the user to reason regardless to the knowledge type. In addition, it is an alternative to overcome the modeling shortcoming of abstract data by taking advantage of a rigorous mathematical framework of fuzzy logic. A numerica作者: MAOIS 時間: 2025-3-27 01:16
Information Filtering Method for Twitter Streaming Data Using Human-in-the-Loop Machine Learning again. We assume that if we continue instigating this loop, the accuracy of the classifier will improve, and we will obtain useful information without having to specify keywords. Experimental results demonstrated that our proposed system is effective for filtering social media streams. Moreover, we作者: GROG 時間: 2025-3-27 06:50
A Recommender System with Advanced Time Series Medical Data Analysis for Diabetes Patients in a Teletions on their need to take a medical test or not on the coming day based on the analysis of their medical data. A real-life time series dataset is used for experimental evaluation. The experimental results show that the proposed system yields very good recommendation accuracy and can effectively re作者: 惡心 時間: 2025-3-27 11:38 作者: insomnia 時間: 2025-3-27 15:03 作者: 奇怪 時間: 2025-3-27 18:40 作者: crescendo 時間: 2025-3-27 23:11
CROP: An Efficient Cross-Platform Event Popularity Prediction Model for Online Media-making for online platforms. Numerous studies concentrate on the trend analysis on single platform, but they neglect the data correlation between different platforms. In this paper, we propose CROP, a cross-platform event popularity prediction model to forecast the popularity of events on one platf作者: 組成 時間: 2025-3-28 03:11 作者: 有危險 時間: 2025-3-28 09:49
A Fuzzy Unified Framework for Imprecise Knowledgeased on fuzzy set theory, or using symbolic multi-valued logic, which is based on multi-set theory. To provide a unified framework to handle simultaneously both types of information, we propose in this paper a new approach to translate multi-valued knowledge into fuzzy knowledge. For that purpose, w作者: 抑制 時間: 2025-3-28 11:15 作者: Felicitous 時間: 2025-3-28 17:20
Leveraging Data Relationships to Resolve Conflicts from Disparate Data Sources information providers. State-of-the-art data fusion systems largely consider claims for a data item to be unrelated to each other. In many domains, however, the observed claims are often related to each other through various entity-relationships. We propose a formalism to express entity-relationshi作者: Coronary-Spasm 時間: 2025-3-28 18:52 作者: daredevil 時間: 2025-3-29 01:48
OLAP Queries Context-Aware Recommender Systemtical processing analysis, recommender systems are developed. However some recommendations can be inappropriate (irrelevant queries or non-computable queries). To overcome these mismatches, we propose to integrate contextual data into the recommender system. In this paper, we provide (i) an indicato作者: Cervical-Spine 時間: 2025-3-29 05:26 作者: FOR 時間: 2025-3-29 09:23
FairGRecs: Fair Group Recommendations by Exploiting Personal Health Informationers have to inform themselves online about health problems and possible treatments. Specifically, FairGRecs introduces a model for group recommendations, incorporating the notion of fairness. For computing similarities between users, we define a novel measure that is based on the semantic distance b作者: 新奇 時間: 2025-3-29 14:22
Big Log Data Stream Processing: Adapting an Anomaly Detection Techniquee huge amount of data and to discover security incidents in real-time, analyses of log data streams are required. However, most of the log anomaly detection techniques fall short in considering continuous data processing. Thus, this paper aligns an anomaly detection technique for data stream process作者: Myofibrils 時間: 2025-3-29 16:55
Information Filtering Method for Twitter Streaming Data Using Human-in-the-Loop Machine Learningely filter the texts in the streams, we can obtain useful information in real time. In a keyword-based approach, filters are constructed using keywords, but selecting the appropriate keywords to include is often difficult. In this work, we propose a method for filtering texts that are related to spe作者: 表皮 時間: 2025-3-29 23:15 作者: 寬敞 時間: 2025-3-30 02:04 作者: 侵害 時間: 2025-3-30 07:54 作者: Obstreperous 時間: 2025-3-30 11:42
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