標(biāo)題: Titlebook: Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge ; 12th International C Stanis?aw Koziel [打印本頁] 作者: Grievous 時(shí)間: 2025-3-21 18:16
書目名稱Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge 影響因子(影響力)
書目名稱Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge 影響因子(影響力)學(xué)科排名
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書目名稱Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge 網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge 被引頻次
書目名稱Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge 被引頻次學(xué)科排名
書目名稱Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge 年度引用
書目名稱Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge 年度引用學(xué)科排名
書目名稱Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge 讀者反饋
書目名稱Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge 讀者反饋學(xué)科排名
作者: Keratin 時(shí)間: 2025-3-21 20:42
Luc Lecavalier,Anne V. Snow,Megan Norrisy to measure the level of predictability of following procedure. The clustering approach used is essentially a way of personalizing patients according to their properties. The approach used in this work is entirely novel and was designed specifically to address the twofold problem of first being abl作者: 令人作嘔 時(shí)間: 2025-3-22 02:27
Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge 12th International C作者: NAIVE 時(shí)間: 2025-3-22 06:36 作者: Entirety 時(shí)間: 2025-3-22 10:42 作者: alcoholism 時(shí)間: 2025-3-22 13:31 作者: adipose-tissue 時(shí)間: 2025-3-22 19:57
Stanis?aw Kozielski,Dariusz Mrozek,Daniel KostrzewIncludes supplementary material: 作者: 防止 時(shí)間: 2025-3-23 00:45
Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/185159.jpg作者: 反復(fù)無常 時(shí)間: 2025-3-23 02:12
Autism and Child Psychopathology Series scales up and out for large data to enable people to explore visually their data interactively in real-time as a means to understanding it. The five V’s of big data—., ., ., ., and .—each highlights the challenges of this endeavor..We present these challenges and a system, ., that we are developing作者: 小平面 時(shí)間: 2025-3-23 09:13
Luc Lecavalier,Anne V. Snow,Megan Norrisive, data management based on parallel and cloud (e.g. MapReduce) systems are overviewed, and compared by relying on meeting software requirements (e.g. data independence, software reuse), high performance, scalability, elasticity, and data availability. With respect to proposed cloud systems, we di作者: Mumble 時(shí)間: 2025-3-23 13:29 作者: occult 時(shí)間: 2025-3-23 16:04
Julie A. Worley,Johnny L. Matsonf scientific data. We then shortly present our contributions to this field in the form of original methods for the automatic classification of documents and easy interpretation of their content through characteristic keywords and classes created by our algorithms. In a second step, we focus our anal作者: abysmal 時(shí)間: 2025-3-23 19:09 作者: 非實(shí)體 時(shí)間: 2025-3-24 01:17
Single-Case Experimental Designswhen rules are not organized into any structure, the system is inefficient. In the author’s opinion, modification of both the knowledge base structure and inference algorithms lead to improve the efficiency of the inference process. Rules partition enables reducing significantly the percentage of th作者: 間諜活動 時(shí)間: 2025-3-24 02:55 作者: Custodian 時(shí)間: 2025-3-24 07:21 作者: 同時(shí)發(fā)生 時(shí)間: 2025-3-24 11:21
Single-Case Experimental Designsid memetic approach where local (gradient descent) and global (differential evolution) approach are combined to tune parameters of a neuro-fuzzy system. Application of the memetic approach results in lower error rates than either gradient descent optimisation or differential evolution alone. The res作者: FLAGR 時(shí)間: 2025-3-24 16:42
Single-Case Experimental Designs data the firing strength of the rules cannot be calculated. Some neuro-fuzzy systems impute the missing firing strength. This approach has been successfully applied. Unfortunately in some cases the imputed firing strength values are very low for all rules and data items are poorly recognized by the作者: STIT 時(shí)間: 2025-3-24 19:04 作者: COUCH 時(shí)間: 2025-3-25 00:23
Anthony M. Graziano,James N. Katze protection of national heritage, so important nowadays, requires a multicriteria assessment. Seeing that different factors in varying degrees affect the comprehensive assessment of the object, it becomes necessary to use computational intelligence methods. This paper presents a rough sets approach作者: ABASH 時(shí)間: 2025-3-25 06:13 作者: CIS 時(shí)間: 2025-3-25 10:39 作者: instill 時(shí)間: 2025-3-25 12:17
Peter M. Lewinsohn,Harry M. Hoberman the developer is limited only to equi-joins as they can be easily implemented using the grouping operation. However, some techniques have been developed to leverage the joins using non-equality conditions. In this paper, we propose the enhancement to cross-join based algorithms, like Strict-Even Jo作者: Melodrama 時(shí)間: 2025-3-25 17:33 作者: 粗俗人 時(shí)間: 2025-3-25 23:24 作者: Counteract 時(shí)間: 2025-3-26 03:17
Treatment of Childhood Medical Disordersnumbers from the unit interval which correspond to possibility and necessity measures. The notion of FFD is defined with the use of the extended G?del implication operator. For such dependencies we present inference rules as a fuzzy extension of Armstrong’s axioms. We show that they form a sound and complete system.作者: MAG 時(shí)間: 2025-3-26 06:13
Autism and Child Psychopathology Seriesarchical aggregation can be used to drive this, and the powerful types of interactive visual presentations that can be supported. We are preparing for the day soon when . becomes the sixth V of big data.作者: Compassionate 時(shí)間: 2025-3-26 09:50
Donald P. Hartmann,David D. Woodas compared with the quality of two models: Out–Out (outliers in train and test data) and Non-out–Out (outliers only in test data). 50 levels of outliers in the data were considered, from 1?% to 50?%. Statistical comparison of models was done on the basis of sign test.作者: aesthetic 時(shí)間: 2025-3-26 16:23
Donald P. Hartmann,David D. Wood use all of decision profile matrices to calculate the support for each class. Also, both methods require training. These methods were used in a dispersed decision-making system which was proposed in the paper [.].作者: Clumsy 時(shí)間: 2025-3-26 20:04
History of Behavior Modificationies over the whole network (.). In this paper we studied this problem using various centrality metrics with different models of influence propagation. Experiments were conducted on three, real-world datasets regarding the domain of recommendation services.作者: 遺產(chǎn) 時(shí)間: 2025-3-26 21:16
Jan Sheldon-Wildgen,Todd R. Risleyetter recognition of the data items) makes the model more reliable. The increase of the activation of rules may also decrease the error rate for the model. The paper is accompanied by the numerical examples.作者: CODA 時(shí)間: 2025-3-27 04:13
Alan S. Bellack,Michel Hersen,Alan E. Kazdinequences (linear tree) and general join sequences (wide bushy tree, also known as composite inner) and also tests their performance and functionality. We will also provide the algorithm of the proposed system that shows the implementation steps.作者: Hemodialysis 時(shí)間: 2025-3-27 05:41
Interactive Visualization of Big Dataarchical aggregation can be used to drive this, and the powerful types of interactive visual presentations that can be supported. We are preparing for the day soon when . becomes the sixth V of big data.作者: 吹牛大王 時(shí)間: 2025-3-27 12:47
Influence of Outliers Introduction on Predictive Models Qualityas compared with the quality of two models: Out–Out (outliers in train and test data) and Non-out–Out (outliers only in test data). 50 levels of outliers in the data were considered, from 1?% to 50?%. Statistical comparison of models was done on the basis of sign test.作者: 外星人 時(shí)間: 2025-3-27 16:48 作者: 致敬 時(shí)間: 2025-3-27 18:50 作者: 放肆的你 時(shí)間: 2025-3-28 00:55 作者: 偶然 時(shí)間: 2025-3-28 04:05
Non-recursive Approach for Sort-Merge Join Operationequences (linear tree) and general join sequences (wide bushy tree, also known as composite inner) and also tests their performance and functionality. We will also provide the algorithm of the proposed system that shows the implementation steps.作者: collagenase 時(shí)間: 2025-3-28 08:38
Big Data Management in the Cloud: Evolution or Crossroad?scuss evolution of their data manipulation languages and we try to learn some lessons should be exploited to ensure the viability of the next generation of large-scale data management systems for big data applications.作者: radiograph 時(shí)間: 2025-3-28 13:59 作者: Individual 時(shí)間: 2025-3-28 18:39 作者: Offstage 時(shí)間: 2025-3-28 20:15
The Evaluation of Map-Reduce Join Algorithmss has been proposed, although many of them cannot be easily classified using old Map-Side/Reduce-Side distinction. The main goal of this paper is to propose the taxonomy of the existing join algorithms and provide their evaluation.作者: 碎石 時(shí)間: 2025-3-29 01:48 作者: nauseate 時(shí)間: 2025-3-29 06:25
1865-0929 ures and algorithms for efficient data processing; data warehousing and OLAP; natural language processing, ontologies and semantic Web; bioinformatics and biomedical data analysis; data processing tools; novel applications of database systems..978-3-319-34098-2978-3-319-34099-9Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 滲透 時(shí)間: 2025-3-29 10:05 作者: Acumen 時(shí)間: 2025-3-29 13:02 作者: 白楊魚 時(shí)間: 2025-3-29 19:37
Anthony M. Graziano,James N. Katz the comprehensive assessment of the object, it becomes necessary to use computational intelligence methods. This paper presents a rough sets approach to multicriteria rating of objects on the example of historical buildings.作者: 平靜生活 時(shí)間: 2025-3-29 23:18
Peter M. Lewinsohn,Harry M. Hobermanped to leverage the joins using non-equality conditions. In this paper, we propose the enhancement to cross-join based algorithms, like Strict-Even Join, by handling the equality and non-equality conditions separately.作者: Watemelon 時(shí)間: 2025-3-30 00:06 作者: 按等級 時(shí)間: 2025-3-30 04:53 作者: 敬禮 時(shí)間: 2025-3-30 08:20 作者: 凝視 時(shí)間: 2025-3-30 13:02
Single-Case Experimental Designstems. It outperforms previous method (elaborates lower error rates), avoids numerical problems with very low firing strengths in all fuzzy rules of the system. The proposed systems elaborated interval answer without Karnik-Mendel algorithm. The paper is accompanied by numerical examples and statistical verification on real life data sets.作者: Venules 時(shí)間: 2025-3-30 18:35 作者: 夾克怕包裹 時(shí)間: 2025-3-30 22:54
Conference proceedings 20166, held in Ustroń, Poland, in May/June 2016...It consists of 57 carefully reviewed papers selected from 152 submissions. The papers are organized in topical sections, namely artificial intelligence, data mining and knowledge discovery; architectures, structures and algorithms for efficient data proc作者: plasma 時(shí)間: 2025-3-31 04:50 作者: SEMI 時(shí)間: 2025-3-31 08:18 作者: 出處 時(shí)間: 2025-3-31 11:40
Single-Case Experimental Designse knowledge base analysed during the inference process. The form of the group’s representative plays an important role in the efficiency of the inference process. The good performance of this approach is shown through an extensive experimental study carried out on a collection of real knoswledge bases.
