標(biāo)題: Titlebook: Advanced Methods for Knowledge Discovery from Complex Data; Sanghamitra Bandyopadhyay,Ujjwal Maulik,Diane J. C Book 2005 Springer-Verlag L [打印本頁(yè)] 作者: 夸大 時(shí)間: 2025-3-21 17:57
書(shū)目名稱Advanced Methods for Knowledge Discovery from Complex Data影響因子(影響力)
書(shū)目名稱Advanced Methods for Knowledge Discovery from Complex Data影響因子(影響力)學(xué)科排名
書(shū)目名稱Advanced Methods for Knowledge Discovery from Complex Data網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Advanced Methods for Knowledge Discovery from Complex Data網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Advanced Methods for Knowledge Discovery from Complex Data被引頻次
書(shū)目名稱Advanced Methods for Knowledge Discovery from Complex Data被引頻次學(xué)科排名
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書(shū)目名稱Advanced Methods for Knowledge Discovery from Complex Data年度引用學(xué)科排名
書(shū)目名稱Advanced Methods for Knowledge Discovery from Complex Data讀者反饋
書(shū)目名稱Advanced Methods for Knowledge Discovery from Complex Data讀者反饋學(xué)科排名
作者: 高談闊論 時(shí)間: 2025-3-21 20:16 作者: Flavouring 時(shí)間: 2025-3-22 01:56
On-board Mining of Data Streams in Sensor Networks978-3-642-11074-0作者: Mets552 時(shí)間: 2025-3-22 04:57 作者: 天真 時(shí)間: 2025-3-22 09:17
Predictive Graph Mining with Kernel Methodsn. Es ist aber nicht empfehlenswert, den Leistungsbedarf der Trommelmühle durch die Energieaufnahme des Antriebsmotors zu ermitteln, da hierbei eine Reihe von unbestimmten Faktoren die pr?zise Feststellung des an sich schon geringen Leistungsbedarfes nachteilig beeinflussen.作者: 突變 時(shí)間: 2025-3-22 14:15
Significant Feature Selection Using Computational Intelligent Techniques for Intrusion Detectionion process. ..The chapters focus on estimation methods, sampling techniques, nonresponse, questioning designs and statistical disclosure control... .This book is a valuable reference in understanding the importance of the pseudo-population?concept andapplying it in teaching and research..978-3-319-35280-0978-3-319-11785-0作者: 生來(lái) 時(shí)間: 2025-3-22 20:54
Discovering an Evolutionary Classifier over a High-speed Nonstatic Stream my own correlative clinical, histopathologic, cytophysiologic, and cytogenetic investigations in patients and experimental animals, I propose a comprehensive set of criteria of difference and similarity between pseudocarcinoma and true carcinoma of the skin. Hopefully, these criteria will be found 作者: 男生如果明白 時(shí)間: 2025-3-22 22:24
Back MatterGreen Revolution, with its use of intensive agricultural practises, cannot be shared by all. Such cultivation practises are often inappropriate in the developing world where farmers simply do not have the income to purchase the required agricultural machinery, inorganic fertilizers and pestieides. A作者: Euthyroid 時(shí)間: 2025-3-23 02:03 作者: 柔聲地說(shuō) 時(shí)間: 2025-3-23 09:21
Image Retrieval using Visual Features and Relevance Feedbackrties of their eigenvalues. Finally, in the last chapter, the time invariance of the metric is upended and a pseudo-Hermitian model with a time dependent metricis constructed to discuss the time evolution of entangled states..978-3-031-60296-2978-3-031-60294-8作者: 單調(diào)女 時(shí)間: 2025-3-23 10:01 作者: 統(tǒng)治人類 時(shí)間: 2025-3-23 16:10
1610-3947 n hidden in unstructured text and in other complex forms. Mining in the domains of the world-wide web, bioinformatics, geoscienti?c data, and spatial and temporal applications comprise some illustrative example978-1-84996-991-8978-1-84628-284-3Series ISSN 1610-3947 Series E-ISSN 2197-8441 作者: 違抗 時(shí)間: 2025-3-23 21:53 作者: granite 時(shí)間: 2025-3-24 01:37 作者: orthopedist 時(shí)間: 2025-3-24 04:19
J. M. Graham,H. Ahmed,T. C. Northfieldistic regression model, capturing both content and links. We systematically evaluate several variants of our link-based model on a range of data sets including both web and citation collections. In all cases, the use of the link distribution improves classification performance.作者: Spina-Bifida 時(shí)間: 2025-3-24 09:29
Bile Acids in Health and Diseasend compare them with the widely used clusters in the trees. We also report the implementation status of the system built based on the proposed algorithms, which is fully operational and available on the world-wide web.作者: CRATE 時(shí)間: 2025-3-24 14:32 作者: Retrieval 時(shí)間: 2025-3-24 17:26 作者: intoxicate 時(shí)間: 2025-3-24 19:43
Algorithms for Linear Bilevel Optimizationary Bayesian classifier on streaming data. A train-and-test method is employed to discover the changes in the characteristics of the data and the need for construction of a new classifier. In addition, divergence is utilized to quantify the changes in the classifier and inform the user what aspects 作者: Visual-Field 時(shí)間: 2025-3-25 02:12
Automatic Discovery of Class Hierarchies via Output Space Decomposition dargestellt wieder.Absolut praxisbezogen.Nur so ausführlichDie Autoren beschreiben zun?chst die allgemeinen Grundlagen der Textilprüfung und ihrer Auswertung und die Grundlagen der Prüfung des mechanischen Form?nderungsverhaltens von Textilien. Danach werden die verschiedenen Verfahren zur Bestimmu作者: intolerance 時(shí)間: 2025-3-25 07:20
Graph-based Mining of Complex Datahlmaschine noch v?llig im unklaren. Erst die im Abschnitt Einleitung angeführten Versuche von Professor . auf einer Labor-Trommelmühle brachten die Aufkl?rung hierüber. Seitdem sind 50 Jahre vergangen und wir stehen heute noch immer vor derselben Aufgabe, wenn auch in anderem Sinne. Das gro?e Verdie作者: Ornithologist 時(shí)間: 2025-3-25 10:16
Predictive Graph Mining with Kernel Methodsmühle in Frage kommen kann. In einer solchen Mühle ist der Mahlvorgang der gleiche wie in den gro?en Kugel- und Rohrmühlen, und die Mahlergebnisse k?nnen, wie noch im n?chsten Abschnitt gezeigt werden wird, ohne weiteres auf die gro?en Mühlen übertragen werden. Da aber die mechanische Verlustarbeit 作者: Isometric 時(shí)間: 2025-3-25 12:34
Ontology-Assisted Mining of RDF Documentsotivo, in generale, per cui . e . debbano essere legati tra di loro da qualche operazione di aggiunto, come invece capita per le CCR ordinarie, (2.9). Infatti, come abbiamo già discusso più volte, la situazione più interessante è quando .. Questa condizione produce diverse conseguenze, come abbiamo 作者: daredevil 時(shí)間: 2025-3-25 16:46 作者: tinnitus 時(shí)間: 2025-3-25 22:46
Significant Feature Selection Using Computational Intelligent Techniques for Intrusion Detectionps to combine (classical) full response sampling theory with.This book emphasizes that .artificial. or .pseudo-populations. play an important role in statistical surveys from finite universes in two manners: firstly, the concept of pseudo-populations may substantially improve users’ understanding of作者: GORGE 時(shí)間: 2025-3-26 02:08
Discovering an Evolutionary Classifier over a High-speed Nonstatic Streamamous cell carcinoma of the skin from an atypical, but benign, epidermal hyperplasia which closely mimics the carcinoma clinically and particularly histologically - so-called pseudoepitheliomatous or pseudocarcinomatous hyperplasia. Although there are many publications describing in detail the histo作者: 過(guò)濾 時(shí)間: 2025-3-26 05:39 作者: miniature 時(shí)間: 2025-3-26 12:23
Book 2005 advances in high-level scienti?c and engineering research and the development of e?cient data collection tools. This has given rise to the need for automa- callyanalyzingthedatainordertoextractknowledgefromit,therebymaking the data potentially more useful. Knowledge discovery and data mining (KDD) 作者: photophobia 時(shí)間: 2025-3-26 16:27
Bile Acids in Health and Diseaseods have the potential to overcome some of the major weaknesses of previous approaches to learning from complex data. In order to apply kernel methods to graph data, we propose two different kernel functions and compare them on a relational reinforcement learning problem and a molecule classification problem.作者: Alopecia-Areata 時(shí)間: 2025-3-26 17:48 作者: MOT 時(shí)間: 2025-3-26 23:50 作者: ARBOR 時(shí)間: 2025-3-27 02:44
Biliary Lipid Secretion and its Controlsegmentation. We review state-of-the-art techniques for sequential labeling and show how these apply in two real-life applications arising in address cleaning and information extraction from websites.作者: 陰險(xiǎn) 時(shí)間: 2025-3-27 09:21
1610-3947 the synergy between application domains and algorithm typesThe growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient 作者: champaign 時(shí)間: 2025-3-27 13:18
Damien Bazin,Ludovic Julien,Olivier Musydocuments for detecting patterns of terrorist activities. Experiments conducted based on a synthetic set of terrorist events have shown that the proposed methods were able to derive a reasonably small set of association rules capturing the key underlying associations.作者: Badger 時(shí)間: 2025-3-27 14:13
Herminia I. Calvete,Carmen Galéed to retrieve images and its performance is established through rigorous experimentation. Performance of the system is enhanced through a novel relevance feedback scheme as evident from the experimental results. Performance of the system is compared with that of the others.作者: 蔓藤圖飾 時(shí)間: 2025-3-27 20:24
A. Torsoli,E. Corazziari,E. De Masif data of various types. This chapter discusses some of the basic concepts and issues involved in this process with special emphasis on different data mining tasks. The major challenges in data mining are mentioned. Finally, the recent trends in data mining are described and an extensive bibliograph作者: 裝飾 時(shí)間: 2025-3-28 00:11
G. Paumgartner,G. A. Mannes,F. Stellaardar learning framework called the Binary Hierarchical Classifier (BHC) that takes a coarse-to-fine approach to dealing with a large number of output classes. BHC decomposes a .-class problem into a set of .-1 two-(meta)class problems, arranged in a binary tree with . leaf nodes and .-1 internal nodes作者: 憤怒歷史 時(shí)間: 2025-3-28 03:47
Bile acid metabolism in liver disease,atterns that maximally compress the input graph. Subdue can be used for supervised learning, as well as unsupervised pattern discovery and clustering..Mining graph-based data raises challenges not found in linear attribute-value data. However, additional requirements can further complicate the probl作者: exigent 時(shí)間: 2025-3-28 08:33 作者: 熱情贊揚(yáng) 時(shí)間: 2025-3-28 11:27
R. T. Holzbach,R. L. Barnhart,J. M. Naderining (embedded) subtrees in a forest of rooted, labeled, and ordered trees. We present TreeMiner, a novel algorithm to discover all frequent subtrees in a forest, using a new data structure called a scope-list. We contrast TreeMiner with a pattern-matching tree-mining algorithm (PatternMatcher). We作者: 碌碌之人 時(shí)間: 2025-3-28 15:58 作者: 喊叫 時(shí)間: 2025-3-28 20:16
J. M. Graham,H. Ahmed,T. C. Northfieldxplicit or implicit relationship that exists between the objects. Links among the objects demonstrate certain patterns, which can be helpful for many machine learning tasks and are usually hard to capture with traditional statistical models. Recently there has been a surge of interest in this area, 作者: 休閑 時(shí)間: 2025-3-29 01:02 作者: Concrete 時(shí)間: 2025-3-29 05:33
Damien Bazin,Ludovic Julien,Olivier Musy, we propose an Apriori-based algorithm for mining association rules (AR) from RDF documents. We treat relations (RDF statements) as items in traditional AR mining to mine associations among relations. The algorithm further makes use of a domain ontology to provide generalization of relations. To ob作者: Foment 時(shí)間: 2025-3-29 09:39 作者: ETHER 時(shí)間: 2025-3-29 13:18
Algorithms for Linear Bilevel Optimizationstems (IDPSs) is an essential task for protecting cyber security as well as physical security because of the great dependence on networked computers for the operational control of various infrastructures..Building effective intrusion detection systems (IDSs), unfortunately, has remained an elusive g作者: 征兵 時(shí)間: 2025-3-29 19:10 作者: grotto 時(shí)間: 2025-3-29 23:25
Algorithms for Linear Bilevel Optimizationges in streaming data mining are as follows: since streams may flow in and out indefinitely and at fast speed, it is usually expected that a stream-mining process can only scan a data stream once; and since the characteristics of the data may evolve over time, it is desirable to incorporate the evol作者: 沒(méi)收 時(shí)間: 2025-3-30 01:30 作者: 使腐爛 時(shí)間: 2025-3-30 06:40
Advanced Information and Knowledge Processinghttp://image.papertrans.cn/a/image/145934.jpg作者: IOTA 時(shí)間: 2025-3-30 09:00
https://doi.org/10.1007/1-84628-284-5Bayesian network; algorithms; classification; computer science; data mining; database; evolution; graph; ima作者: 維持 時(shí)間: 2025-3-30 15:36
