派博傳思國(guó)際中心

標(biāo)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 [打印本頁(yè)]

作者: 嬉戲    時(shí)間: 2025-3-21 18:13
書(shū)目名稱Inductive Databases and Constraint-Based Data Mining影響因子(影響力)




書(shū)目名稱Inductive Databases and Constraint-Based Data Mining影響因子(影響力)學(xué)科排名




書(shū)目名稱Inductive Databases and Constraint-Based Data Mining網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Inductive Databases and Constraint-Based Data Mining網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Inductive Databases and Constraint-Based Data Mining被引頻次




書(shū)目名稱Inductive Databases and Constraint-Based Data Mining被引頻次學(xué)科排名




書(shū)目名稱Inductive Databases and Constraint-Based Data Mining年度引用




書(shū)目名稱Inductive Databases and Constraint-Based Data Mining年度引用學(xué)科排名




書(shū)目名稱Inductive Databases and Constraint-Based Data Mining讀者反饋




書(shū)目名稱Inductive Databases and Constraint-Based Data Mining讀者反饋學(xué)科排名





作者: mediocrity    時(shí)間: 2025-3-21 20:47
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
作者: MILK    時(shí)間: 2025-3-22 01:57

作者: 使乳化    時(shí)間: 2025-3-22 07:18
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
作者: AER    時(shí)間: 2025-3-22 10:26
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
作者: 中和    時(shí)間: 2025-3-22 13:59
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
作者: insolence    時(shí)間: 2025-3-22 19:07

作者: encyclopedia    時(shí)間: 2025-3-22 22:16
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
作者: Glucocorticoids    時(shí)間: 2025-3-23 02:09

作者: 煩擾    時(shí)間: 2025-3-23 07:19
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
作者: 騷動(dòng)    時(shí)間: 2025-3-23 12:11

作者: 善辯    時(shí)間: 2025-3-23 16:00
Lo?c Cerf,Bao Tran Nhan Nguyen,Jean-Fran?ois Boulicaut on the buffer occupancy and scheduling delay of a leaky bucket regulated flow have been proved to hold under DRR. However, performance bounds are important for real-time traffic such as video or voice, whereas regarding data traffic average performance indices are meaningful in most of the cases. I
作者: 猛擊    時(shí)間: 2025-3-23 18:57

作者: 摻假    時(shí)間: 2025-3-23 23:32

作者: CLAY    時(shí)間: 2025-3-24 04:00
Arno Siebes,Diyah Puspitaningrumks; this century, however, there has been more emphasis on other kinds of documents, and particularly their design. But no shift in document production has been more sudden than the one that has happened most recently. ConSequently, the last five years have witnessed a substantial movement away from
作者: 懶洋洋    時(shí)間: 2025-3-24 07:00

作者: Arb853    時(shí)間: 2025-3-24 10:44

作者: Abjure    時(shí)間: 2025-3-24 16:33
Celine Vens,Leander Schietgat,Jan Struyf,Hendrik Blockeel,Dragi Kocev,Sa?o D?eroskilectron micro- graphs. First, many years of work on correcting the resolution-limiting aberrations of electron microscope objectives had shown that these optical impediments to very high resolution could indeed be overcome, but only at the cost of immense exper- imental difficulty; thanks largely to
作者: 新陳代謝    時(shí)間: 2025-3-24 21:13
Inductive Databases and Constraint-based Data Mining: Introduction and Overviewn discuss constraints and constraint-based data mining in more detail, followed by a discussion on knowledge discovery scenarios. We further give an overview of recent developments in the area, focussing on those made within the IQ project, that gave rise to most of the chapters included in this vol
作者: TSH582    時(shí)間: 2025-3-25 01:43
Representing Entities in the OntoDM Data Mining Ontologyons, we address the task of constructing an ontology of data mining. Our heavy-weight ontology, named OntoDM, is based on a recently proposed general framework for data mining. It represent entites such as data, data mining tasks and algorithms, and generalizations (resulting from the latter), and a
作者: 萬(wàn)靈丹    時(shí)間: 2025-3-25 05:36
A Practical Comparative Study Of Data Mining Query Languagesibility with which data mining can be performed. By integrating data mining more closely into a database querying framework, separate steps such as data preprocessing, data mining, and postprocessing of the results, can all be handled using one query language. In this chapter, we compare six existin
作者: 秘方藥    時(shí)間: 2025-3-25 10:25
A Theory of Inductive Query Answerings over monotonic and anti-monotonic predicates. Boolean inductive queries can be used to address many problems in data mining and machine learning, such as local pattern mining and concept-learning, and actually provides a unifying view on many machine learning and data mining tasks. Secondly, we de
作者: 艦旗    時(shí)間: 2025-3-25 12:32

作者: Ptsd429    時(shí)間: 2025-3-25 18:46

作者: Visual-Field    時(shí)間: 2025-3-25 20:13
Constrained Predictive Clustering interested in the most compact clusters or the most accurate model; other factors, such as model size and prediction cost, may also be important.We will see how such factors can be controlled by means of constraints. In predictive clustering trees, constraints can be imposed both from the clusterin
作者: Lice692    時(shí)間: 2025-3-26 01:11

作者: 無(wú)禮回復(fù)    時(shí)間: 2025-3-26 06:38

作者: giggle    時(shí)間: 2025-3-26 08:42

作者: obnoxious    時(shí)間: 2025-3-26 15:27
Inductive Querying with Virtual Mining Viewsthis chapter, we present an inductive database system in which the query language is traditional SQL. More specifically, we present a system in which the user can query the collection of all possible patterns as if they were stored in traditional relational tables. We show how such tables, or mining
作者: 誹謗    時(shí)間: 2025-3-26 17:49
SINDBAD and SiQL: Overview, Applications and Future Developmentsuage SiQL, we present application scenarios from the areas of gene expression/regulation and small molecules. Next, we describe a web service interface to S. that enables new possibilities for inductive databases (distributing tasks over multiple servers, language and platform independence, …). Fina
作者: 沙文主義    時(shí)間: 2025-3-26 21:18
Patterns on Queriesm the stored tables using relational algebra. For an inductive database, it is reasonable to assume that the stored tables have been modelled. The problem we study in this chapter is: do the models available on the stored tables help to model the table constructed by a query? To focus the discussion
作者: 有罪    時(shí)間: 2025-3-27 03:42

作者: Calibrate    時(shí)間: 2025-3-27 07:51
Predicting Gene Function using Predictive Clustering Trees is an example of a hierarchical multi-label classification (HMC) task: genes may have multiple functions and these functions are organized in a hierarchy. The hierarchy of functions can be such that each function has at most one parent (tree structure) or such that functions may have multiple paren
作者: separate    時(shí)間: 2025-3-27 12:58
te 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 que978-1-4899-8217-9978-1-4419-7738-0
作者: NAUT    時(shí)間: 2025-3-27 16:50

作者: Mendicant    時(shí)間: 2025-3-27 19:46
tems while serving workloads of different sizes. We provided 2K, 4K, and 8K images to a Digital Camera system, and we supplied bursts of 75 to 500 customers for a Train Ticket Booking System. We parameterized the LQN with the data obtained from short experiment and estimated the performance and ener
作者: CURL    時(shí)間: 2025-3-28 01:29
hreads, the operational frequency, and the computational requirement for achieving a specific numerical accuracy of the solution are investigated. Experiments show a good scalability behavior for computing approximation solutions of different numerical accuracy.
作者: 主講人    時(shí)間: 2025-3-28 04:48
Sa?o D?eroskiNs have recently been used for large biochemical networks. In this paper, we show that time-homogeneous ODE parameters can be efficiently estimated with Bayesian Networks. The accuracy and computation time of our approach is compared to two-slice time-invariant DBNs that have already been used for t
作者: 背信    時(shí)間: 2025-3-28 08:07
Pan?e Panov,Sa?o D?eroski,Larisa N. Soldatovat captures details not modelled hitherto. This model is validated against simulation and shows good agreement up to moderate utilisations, the normal operating environment for Ethernets. The whole client-server model is implemented in the Metron Athene Client-Server capacity planning tool and sample
作者: 易怒    時(shí)間: 2025-3-28 11:30

作者: Prophylaxis    時(shí)間: 2025-3-28 15:24
Luc De Raedt,Manfred Jaeger,Sau Dan Lee,Heikki Mannilahe nearly 100 GBs of collected measurements. Finally, we describe the layered queueing model we developed to estimate client response time at a Web server. The model predicts the impact on server and client response times as a function of network topology and Web server pool size.
作者: Parameter    時(shí)間: 2025-3-28 19:48
he nearly 100 GBs of collected measurements. Finally, we describe the layered queueing model we developed to estimate client response time at a Web server. The model predicts the impact on server and client response times as a function of network topology and Web server pool size.
作者: Constant    時(shí)間: 2025-3-29 01:26
Jérémy Besson,Jean-Fran?ois Boulicaut,Tias Guns,Siegfried Nijssenor Petri net models can be automatically generated from a generic model to analyze performance for scaled parallel systems as well as scaled input data. The complexity of the graph models produced depends significantly on the type of parallel computation described. We present several computation cla
作者: Ingratiate    時(shí)間: 2025-3-29 06:28
Bj?rn Bringmann,Siegfried Nijssen,Albrecht Zimmermanno 200% advantage for RISC for various SPEC CPU95 programs. A decade later and after introduction of interesting techniques such as fusion of micro-operations in the x86, we set off to compare a recent RISC and a recent CISC processor, the IBM POWER5+ and the Intel Woodcrest. We find that the SPEC CP
作者: 錫箔紙    時(shí)間: 2025-3-29 10:56
Jan Struyf,Sa?o D?eroskio 200% advantage for RISC for various SPEC CPU95 programs. A decade later and after introduction of interesting techniques such as fusion of micro-operations in the x86, we set off to compare a recent RISC and a recent CISC processor, the IBM POWER5+ and the Intel Woodcrest. We find that the SPEC CP
作者: 悅耳    時(shí)間: 2025-3-29 12:30

作者: 溫順    時(shí)間: 2025-3-29 18:31
Lo?c Cerf,Bao Tran Nhan Nguyen,Jean-Fran?ois Boulicautobability matrix is fully exploited. As a result of the above exploitation an effective algorithm for computing the matrix . is proposed. The algorithm consists in diagonalizing suitable matrix functions by means of Discrete Fourier Transform and in applying Newton’s method.
作者: 吹牛大王    時(shí)間: 2025-3-29 21:48

作者: 微生物    時(shí)間: 2025-3-30 01:31

作者: 消瘦    時(shí)間: 2025-3-30 07:37

作者: eulogize    時(shí)間: 2025-3-30 11:14
Joaquin Vanschoren,Hendrik Blockeelte the same thing as publish- ing. Nevertheless, it has been useful in focussing attention on author-produced documents, and what might be described as the democratisation of document production. This book is different from others in the field. Its target audience is the busy scientist engaged in te
作者: 時(shí)間等    時(shí)間: 2025-3-30 13:06
defocus combines with the specimen scattering to provide some image contrast. The action of the spherical aberration and defocus is analogous to that of a phase plate of variable thickness in the radial direction and this type of contrast is therefore phase contrast. Unfortunately, owing to the nonu
作者: 死貓他燒焦    時(shí)間: 2025-3-30 20:09

作者: 反抗者    時(shí)間: 2025-3-30 22:16
Book 2010 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
作者: 肉體    時(shí)間: 2025-3-31 02:09

作者: Flagging    時(shí)間: 2025-3-31 06:14

作者: 6Applepolish    時(shí)間: 2025-3-31 09:40

作者: 商業(yè)上    時(shí)間: 2025-3-31 16:46
Experiment Databasesh analysis of a myriad of collected results. They constitute an additional, queriable source of empirical meta-data based on principled descriptions of algorithm executions, without reimplementing the algorithms in an inductive database. As such, they engender a very dynamic, . approach to experimen
作者: nettle    時(shí)間: 2025-3-31 19:42





歡迎光臨 派博傳思國(guó)際中心 (http://www.pjsxioz.cn/) Powered by Discuz! X3.5
萨迦县| 大荔县| 静海县| 曲靖市| 石家庄市| 乌拉特前旗| 托克托县| 西藏| 安岳县| 青海省| 沙坪坝区| 宜章县| 临武县| 博湖县| 茂名市| 太仆寺旗| 张家川| 浑源县| 神农架林区| 阜新市| 浠水县| 绥江县| 二连浩特市| 敖汉旗| 攀枝花市| 凌源市| 乌鲁木齐市| 阿克| 女性| 安丘市| 璧山县| 山丹县| 长兴县| 固始县| 延津县| 咸宁市| 尚志市| 道孚县| 剑阁县| 新密市| 建阳市|