標(biāo)題: Titlebook: Data Mining and Constraint Programming; Foundations of a Cro Christian Bessiere,Luc De Raedt,Dino Pedreschi Book 2016 Springer Internationa [打印本頁(yè)] 作者: 生長(zhǎng)變吼叫 時(shí)間: 2025-3-21 16:54
書(shū)目名稱Data Mining and Constraint Programming影響因子(影響力)
書(shū)目名稱Data Mining and Constraint Programming影響因子(影響力)學(xué)科排名
書(shū)目名稱Data Mining and Constraint Programming網(wǎng)絡(luò)公開(kāi)度
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書(shū)目名稱Data Mining and Constraint Programming被引頻次
書(shū)目名稱Data Mining and Constraint Programming被引頻次學(xué)科排名
書(shū)目名稱Data Mining and Constraint Programming年度引用
書(shū)目名稱Data Mining and Constraint Programming年度引用學(xué)科排名
書(shū)目名稱Data Mining and Constraint Programming讀者反饋
書(shū)目名稱Data Mining and Constraint Programming讀者反饋學(xué)科排名
作者: 豎琴 時(shí)間: 2025-3-22 00:15 作者: restrain 時(shí)間: 2025-3-22 02:41
ICON Loop Carpooling Show Case accepted by the users involved is inferred through Machine Learning mechanisms and put in the CP model. The whole process is reiterated at regular intervals, thus forming an instance of the general ICON loop.作者: abolish 時(shí)間: 2025-3-22 07:21
Book 2016 could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one to use data mining techniques in constraint programming to identify and update constraints and optimization criteria, but also to employ constraints and criteria in d作者: HAWK 時(shí)間: 2025-3-22 09:37 作者: SUE 時(shí)間: 2025-3-22 15:06 作者: SUE 時(shí)間: 2025-3-22 19:24 作者: 拖債 時(shí)間: 2025-3-22 21:38 作者: agglomerate 時(shí)間: 2025-3-23 04:54 作者: 點(diǎn)燃 時(shí)間: 2025-3-23 05:32
Siba P. Dubey,Charles P. Molumi introduce the concept of generalization query based on an aggregation of variables into types. We propose a generalization algorithm together with several strategies that we incorporate in .. Finally we evaluate our algorithms on some benchmarks.作者: 充氣女 時(shí)間: 2025-3-23 11:46 作者: 秘傳 時(shí)間: 2025-3-23 17:31 作者: Circumscribe 時(shí)間: 2025-3-23 21:02 作者: 無(wú)聊的人 時(shí)間: 2025-3-24 00:47 作者: stressors 時(shí)間: 2025-3-24 02:52 作者: 放大 時(shí)間: 2025-3-24 08:42 作者: 考古學(xué) 時(shí)間: 2025-3-24 12:40 作者: CYT 時(shí)間: 2025-3-24 17:56
Modeling in MiningZinctiling. The underlying framework can use any existing MiniZinc solver. We also showcase how the framework and modeling capabilities can be integrated into an imperative language, for example as part of a greedy algorithm.作者: 出處 時(shí)間: 2025-3-24 22:45
Partition-Based Clustering Using Constraint Optimizatione constraints and optimization criteria. Using the constraint-based modeling approach we also relate the DBSCAN method for density-based clustering to the label propagation technique for community discovery.作者: guzzle 時(shí)間: 2025-3-25 01:07
Christian Bessiere,Luc De Raedt,Dino PedreschiReports on key results obtained in the field of data mining and constraint programming.Integrated and cross-disciplinary approach.Features state-of-the art research.Includes supplementary material: 作者: palliate 時(shí)間: 2025-3-25 06:41
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/262927.jpg作者: 豪華 時(shí)間: 2025-3-25 08:55
Data Mining and Constraints: An Overviewquires mechanisms for defining and evaluating them during the knowledge extraction process. We give a structured account of three main groups of constraints based on the specific context in which they are defined and used. The aim is to provide a complete view on constraints as a building block of data mining methods.作者: 捐助 時(shí)間: 2025-3-25 14:59
Advanced Portfolio Techniques problems more efficient, as surveyed in the previous chapter. In this chapter, we take a look at a detailed case study that leverages transformations between problem representations to make portfolios more effective, followed by extensions to the state of the art that make algorithm selection more robust in practice.作者: 骨 時(shí)間: 2025-3-25 19:50 作者: critic 時(shí)間: 2025-3-25 22:30
978-3-319-50136-9Springer International Publishing AG 2016作者: Noisome 時(shí)間: 2025-3-26 00:31
Data Mining and Constraint Programming978-3-319-50137-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Malleable 時(shí)間: 2025-3-26 07:16
Color Atlas of Fetal and Neonatal Histologyquires mechanisms for defining and evaluating them during the knowledge extraction process. We give a structured account of three main groups of constraints based on the specific context in which they are defined and used. The aim is to provide a complete view on constraints as a building block of data mining methods.作者: 水獺 時(shí)間: 2025-3-26 12:11 作者: DAMN 時(shí)間: 2025-3-26 15:20
Color Atlas of Fetal and Neonatal Histologyquires mechanisms for defining and evaluating them during the knowledge extraction process. We give a structured account of three main groups of constraints based on the specific context in which they are defined and used. The aim is to provide a complete view on constraints as a building block of d作者: PLAYS 時(shí)間: 2025-3-26 18:47 作者: GENRE 時(shí)間: 2025-3-26 22:04 作者: 妨礙議事 時(shí)間: 2025-3-27 01:36 作者: 全神貫注于 時(shí)間: 2025-3-27 09:17 作者: Keratin 時(shí)間: 2025-3-27 12:26
Dale S. Huff,Chrystalle Katte Carreonlly relevant in the last decade, as researchers are increasingly investigating how to identify the most suitable existing algorithm for solving a problem instead of developing new algorithms. This survey presents an overview of this work focusing on the contributions made in the area of combinatoria作者: 跳脫衣舞的人 時(shí)間: 2025-3-27 16:58
Eduardo D. Ruchelli,Dale S. Huff problems more efficient, as surveyed in the previous chapter. In this chapter, we take a look at a detailed case study that leverages transformations between problem representations to make portfolios more effective, followed by extensions to the state of the art that make algorithm selection more 作者: BRUNT 時(shí)間: 2025-3-27 20:24
Eduardo D. Ruchelli,Dale S. Hufftwo approaches to adjust the level of consistency depending on the instance and on which part of the instance we propagate. The first approach, parameterized local consistency, uses as parameter the . of values, which is a feature computed by arc consistency algorithms during their execution. Parame作者: Apraxia 時(shí)間: 2025-3-28 00:23
Eduardo D. Ruchelli,Dale S. Huffage for modeling combinatorial (optimisation) problems. This language is augmented with a library of functions and predicates that help modeling data mining problems and facilities for interfacing with databases. We show how MiningZinc can be used to model constraint-based itemset mining problems, f作者: Ossification 時(shí)間: 2025-3-28 05:25
Eduardo D. Ruchelli,Dale S. Huffch other. Many criteria for what constitutes a good clustering have been identified in the literature; furthermore, the use of additional constraints to find more useful clusterings has been proposed. In this chapter, it will be shown that most of these clustering tasks can be formalized using optim作者: obnoxious 時(shí)間: 2025-3-28 08:46 作者: arsenal 時(shí)間: 2025-3-28 13:50 作者: filicide 時(shí)間: 2025-3-28 17:13 作者: Crayon 時(shí)間: 2025-3-28 21:45 作者: DAMN 時(shí)間: 2025-3-28 23:09 作者: 易受騙 時(shí)間: 2025-3-29 06:08
ICON Loop Health Show CaseIn this document we describe the health show case for the ICON project. This corresponds to Task 6.2 in WP 6 of the Description of Work for the project. The description provides a high-level abstraction, detailed description of the interfaces between modules, and a description of sample data.作者: Stress 時(shí)間: 2025-3-29 08:28 作者: aristocracy 時(shí)間: 2025-3-29 12:39 作者: chandel 時(shí)間: 2025-3-29 17:10 作者: inconceivable 時(shí)間: 2025-3-29 23:34
Learning Constraint Satisfaction Problems: An ILP Perspectiveems are the underlying basis for constraint programming and there is a long standing interest in techniques for learning these. Constraint satisfaction problems are often described using a relational logic, so inductive logic programming is a natural candidate for learning such problems. So far, the作者: Medicaid 時(shí)間: 2025-3-30 02:19
Learning Modulo Theories. Being able to precisely specify all constraints and their respective importance beforehand is often infeasible for the most experienced designer, let alone for a typical decision maker. In this chapter we discuss Learning Modulo Theories (LMT), a learning framework capable of dealing with hybrid d作者: 含鐵 時(shí)間: 2025-3-30 04:10
Algorithm Selection for Combinatorial Search Problems: A Surveylly relevant in the last decade, as researchers are increasingly investigating how to identify the most suitable existing algorithm for solving a problem instead of developing new algorithms. This survey presents an overview of this work focusing on the contributions made in the area of combinatoria作者: 1FAWN 時(shí)間: 2025-3-30 09:17
Advanced Portfolio Techniques problems more efficient, as surveyed in the previous chapter. In this chapter, we take a look at a detailed case study that leverages transformations between problem representations to make portfolios more effective, followed by extensions to the state of the art that make algorithm selection more 作者: 一窩小鳥(niǎo) 時(shí)間: 2025-3-30 13:55
Adapting Consistency in Constraint Solvingtwo approaches to adjust the level of consistency depending on the instance and on which part of the instance we propagate. The first approach, parameterized local consistency, uses as parameter the . of values, which is a feature computed by arc consistency algorithms during their execution. Parame作者: 小淡水魚(yú) 時(shí)間: 2025-3-30 19:21
Modeling in MiningZincage for modeling combinatorial (optimisation) problems. This language is augmented with a library of functions and predicates that help modeling data mining problems and facilities for interfacing with databases. We show how MiningZinc can be used to model constraint-based itemset mining problems, f作者: generic 時(shí)間: 2025-3-31 00:35 作者: 放逐某人 時(shí)間: 2025-3-31 04:34
The Inductive Constraint Programming Loope same time, one continuously gathers vast amounts of data about these problems. Current constraint programming software does not exploit such data to update schedules, resources and plans. We propose a new framework, that we call the .. In this approach data is gathered and analyzed systematically
