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Record Nr. |
UNINA9910451311303321 |
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Titolo |
Advances in data mining and modeling, Hong Kong, 27-28 June 2002 [[electronic resource] /] / editors, Wai-Ki Ching, Michael Kwok-Po Ng |
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Pubbl/distr/stampa |
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Singapore ; ; River Edge, NJ, : World Scientific, 2003 |
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ISBN |
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1-281-37299-4 |
9786611372996 |
981-270-495-7 |
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Descrizione fisica |
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1 online resource (197 p.) |
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Altri autori (Persone) |
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ChingWai Ki <1969-> |
NgMichael K |
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Disciplina |
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Soggetti |
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Data mining |
Database searching |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"A two-day workshop on data mining and modeling was held on 27-28 June 2002. ... This book contains selected papers presented in the workshop."--Pref., p. vii. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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CONTENTS; Data Mining; Data Modeling; Preface; Author Index; Algorithms for Mining Frequent Sequences Ben Kao and Ming-Hua Zhang; High Dimensional Feature Selection for Discriminant Microarray Data Analysis Ju-Fu Feng, Jiang-Xin Shi and Qing-Yun Shi; Clustering and Cluster Validation in Data Mining Joshua Zhe-Xue Huang, Hong-Qiang Rong, Jessica Ting, Yun-Ming Ye and Qi-Ming Huang; Cluster Analysis Using Unidimensional Scaling Pui-Lam hung , Chi-Yin Li and Kin-Nam Lau; Automatic Stock Trend Prediction by Real Time News Gabriel Pui-Cheong Fung, Jeffrey Xu Yu and Wai Lam |
From Associated Implication Networks to Intermarket Analysis Phil Chi- Wang Tse and Ji-Ming Liu Automating Technical Analysis Philip Leung-Ho Yu, Kin Lam and Sze-Hong Ng; A Divide-and-Conquer Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting Rong-Bo Huang, Yiu-Ming Cheung and Lap-Tak Law; Learning Sunspot Series Dynamics by Recurrent Neural |
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Networks Leong-Kwan Li; Independent Component Analysis: The One-Bit-Matching Conjecture and a Simplified LPM-ICA Algorithm Zhi-Yong Liu, Kai-Chun Chiu and Lei Xu |
An Higher-Order Markov Chain Model for Prediction of Categorical Data Sequences Wai-Ki Ching, Eric Siu-Leung Fung and Michael Kwok-Po Ng An Application of the Mixture Autoregressive Model: A Case Study of Modelling Yearly Sunspot Data Kevin Kin-Foon Wong and Chun-Shan Wong; Bond Risk and Return in the SSE Long-Zhen Fan; Mining Loyal Customers: A Practical Use of the Repeat Buying Theory Hing-Po Lo, Xiao-Ling Lu and Zoe Sau-Chun Ng |
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Sommario/riassunto |
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Data mining and data modeling are hot topics and are under fast development. Because of their wide applications and rich research contents, many practitioners and academics are attracted to work in these areas. With a view to promoting communication and collaboration among the practitioners and researchers in Hong Kong, a workshop on data mining and modeling was held in June 2002. Prof Ngaiming Mok, Director of the Institute of Mathematical Research, The University of Hong Kong, and Prof Tze Leung Lai (Stanford University), C V Starr Professor of the University of Hong Kong, initiated the work |
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2. |
Record Nr. |
UNINA9910143562203321 |
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Autore |
Aroca Ricardo |
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Titolo |
Surface enhanced vibrational spectroscopy [[electronic resource] /] / Ricardo Aroca |
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Pubbl/distr/stampa |
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Hoboken, NJ, : Wiley, 2006 |
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ISBN |
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1-280-44903-9 |
9786610449033 |
0-470-03564-1 |
0-470-03565-X |
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Descrizione fisica |
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1 online resource (261 p.) |
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Disciplina |
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Soggetti |
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Vibrational spectra |
Molecular spectroscopy |
Raman effect, Surface enhanced |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Theory of molecular vibrations, the origin of infrared and Raman spectra -- The interaction of light with nanoscopic metal particles and molecules on smooth reflecting surfaces -- Surface enhanced Raman scattering -- Chemical effects and the SERS spectrum -- Is SERS molecule specific? -- SERS/SERRS, the analytical tool -- Surface enhanced infrared spectroscopy. |
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Sommario/riassunto |
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Surface Enhanced Vibrational Spectroscopy (SEVS) has reached maturity as an analytical technique, but until now there has been no single work that describes the theory and experiments of SEVS. This book combines the two important techniques of surface-enhanced Raman scattering (SERS) and surface-enhanced infrared (SEIR) into one text that serves as the definitive resource on SEVS.Discusses both the theory and the applications of SEVS and provides an up-to-date study of the state of the artOffers interpretations of SEVS spectra for practicing analystsDiscusses interpretation of |
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