找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Inductive Databases and Constraint-Based Data Mining; Sa?o D?eroski,Bart Goethals,Pan?e Panov Book 2010 Springer Science+Business Media, L

[復制鏈接]
查看: 48126|回復: 58
樓主
發(fā)表于 2025-3-21 18:13:37 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Inductive Databases and Constraint-Based Data Mining
編輯Sa?o D?eroski,Bart Goethals,Pan?e Panov
視頻videohttp://file.papertrans.cn/464/463881/463881.mp4
概述Provides a broad and unifying perspective on the field of data mining in general and inductive databases in particular.Includes constraint-based mining of predictive models for structured data/outputs
圖書封面Titlebook: Inductive Databases and Constraint-Based Data Mining;  Sa?o D?eroski,Bart Goethals,Pan?e Panov Book 2010 Springer Science+Business Media, L
描述This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area. Of special interest are the recent methods for constraint-based mining of global models for prediction and clustering, the uni?cation of pattern mining approaches through constraint programming, the clari?cation of the re- tionship between mining local patterns and global models, and the proposed in- grative frameworks and approaches for inducive databases. On the application side, applications to practically relevant problems from bioinformatics are presented. Inductive databases (IDBs) represent a database view on data mining and kno- edge discovery. IDBs contain not only data, but also generalizations (patterns and models) valid in the data. In an IDB, ordinary queries can be used to access and - nipulate data, while inductive queries can be used to generate (mine), manipulate, and apply patterns and models. In the IDB framework, patterns and models become ”?rst-class citizens” and KDD becomes an extended que
出版日期Book 2010
關鍵詞Clustering; Computer; Data mining; Inductive databases; Pattern Mining; bioinformatics; calculus; classific
版次1
doihttps://doi.org/10.1007/978-1-4419-7738-0
isbn_softcover978-1-4899-8217-9
isbn_ebook978-1-4419-7738-0
copyrightSpringer Science+Business Media, LLC 2010
The information of publication is updating

書目名稱Inductive Databases and Constraint-Based Data Mining影響因子(影響力)




書目名稱Inductive Databases and Constraint-Based Data Mining影響因子(影響力)學科排名




書目名稱Inductive Databases and Constraint-Based Data Mining網(wǎng)絡公開度




書目名稱Inductive Databases and Constraint-Based Data Mining網(wǎng)絡公開度學科排名




書目名稱Inductive Databases and Constraint-Based Data Mining被引頻次




書目名稱Inductive Databases and Constraint-Based Data Mining被引頻次學科排名




書目名稱Inductive Databases and Constraint-Based Data Mining年度引用




書目名稱Inductive Databases and Constraint-Based Data Mining年度引用學科排名




書目名稱Inductive Databases and Constraint-Based Data Mining讀者反饋




書目名稱Inductive Databases and Constraint-Based Data Mining讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 20:47:11 | 只看該作者
mation method with two steps consisting of a truncation of the Fourier-Galerkin series and the solution of the resulting ordinary differential equation with a Runge-Kutta solver. Both steps influence the numerical accuracy of the final solution as well as the performance and energy behavior. The num
板凳
發(fā)表于 2025-3-22 01:57:44 | 只看該作者
地板
發(fā)表于 2025-3-22 07:18:08 | 只看該作者
Pan?e Panov,Sa?o D?eroski,Larisa N. Soldatova to achieve a low average value and correspondingly high throughput, but response time should also be fairly consistent in order to provide a good quality of service. We develop a new algorithm for computing the probability density function of response times in Markovian models of client-server syst
5#
發(fā)表于 2025-3-22 10:26:28 | 只看該作者
Hendrik Blockeel,Toon Calders,élisa Fromont,Bart Goethals,Adriana Prado,Céline Robardetn operational environments to assess their performance and correctness. Both approaches have limitations: simulation because of possible lack of accuracy in modeling the system (and, especially, traffic generators), tests in operating networks because of the difficulty of setting up and controlling
6#
發(fā)表于 2025-3-22 13:59:20 | 只看該作者
Luc De Raedt,Manfred Jaeger,Sau Dan Lee,Heikki Mannilaing their usage rates climb rapidly over time. Our research focused on analyzing and evaluating the performance of Internet and intranet Web servers with a goal of creating a Layered Queueing Model to allow capacity planning and performance prediction of next generation server designs. To achieve th
7#
發(fā)表于 2025-3-22 19:07:23 | 只看該作者
8#
發(fā)表于 2025-3-22 22:16:41 | 只看該作者
Jérémy Besson,Jean-Fran?ois Boulicaut,Tias Guns,Siegfried Nijssenrent computer configurations and problem sizes. Since a complete scalability analysis is too time consuming and is limited to only existing systems, extensions of modeling approaches can be considered for analyzing the behavior of parallel programs under different problem and system scenarios. In th
9#
發(fā)表于 2025-3-23 02:09:06 | 只看該作者
10#
發(fā)表于 2025-3-23 07:19:03 | 只看該作者
Jan Struyf,Sa?o D?eroskinslate the CISC instructions into RISC style micro-operations (eg: uops of Intel and ROPS of AMD). The use of the uops (or ROPS) allows the use of RISC-style execution cores, and use of various micro-architectural techniques that can be easily implemented in RISC cores. This can easily allow CISC pr
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-2-7 05:41
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
蓬安县| 大新县| 东海县| 和平县| 定边县| 思茅市| 邵武市| 宝兴县| 台北县| 泰来县| 南靖县| 阜宁县| 深水埗区| 安岳县| 南平市| 泉州市| 南华县| 凉城县| 梅州市| 清苑县| 北票市| 通州区| 商河县| 元谋县| 常德市| 彝良县| 北川| 化州市| 密云县| 石林| 高邮市| 侯马市| 江陵县| 册亨县| 万安县| 策勒县| 铁岭市| 诸暨市| 吉木萨尔县| 辽阳市| 栖霞市|