The accidental data scientist : big data applications and opportunities for librarians and information professionals / / Amy L. Affelt ; foreword by Thomas H. Davenport |
Autore | Affelt Amy L. <1970-> |
Pubbl/distr/stampa | Medford, New Jersey : , : Information Today, Inc., , 2015 |
Descrizione fisica | 1 online resource (240 p.) |
Disciplina | 020.23 |
Soggetto topico |
Librarians - Effect of technological innovations on
Library science - Vocational guidance Information science - Vocational guidance Big data Data libraries Database searching Electronic information resource literacy |
Soggetto genere / forma | Electronic books. |
ISBN | 1-57387-707-7 |
Classificazione | 32.24 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910459694603321 |
Affelt Amy L. <1970-> | ||
Medford, New Jersey : , : Information Today, Inc., , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The accidental data scientist : big data applications and opportunities for librarians and information professionals / / Amy L. Affelt ; foreword by Thomas H. Davenport |
Autore | Affelt Amy L. <1970-> |
Pubbl/distr/stampa | Medford, New Jersey : , : Information Today, Inc., , 2015 |
Descrizione fisica | 1 online resource (240 p.) |
Disciplina | 020.23 |
Soggetto topico |
Librarians - Effect of technological innovations on
Library science - Vocational guidance Information science - Vocational guidance Big data Data libraries Database searching Electronic information resource literacy |
ISBN | 1-57387-707-7 |
Classificazione | 32.24 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Big data : everything old is new again -- What the elves do -- The 21st century librarian's skillset : the role of big data -- Dipping a toe in the water : simple tools to get you started -- Big data applications and initiatives by industry -- Big data projects for info pros -- Big data communications framework : insights into big data mastery for information professionals -- Data scientists wanted : career opportunities in a big data world. |
Record Nr. | UNINA-9910787411403321 |
Affelt Amy L. <1970-> | ||
Medford, New Jersey : , : Information Today, Inc., , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The accidental data scientist : big data applications and opportunities for librarians and information professionals / / Amy L. Affelt ; foreword by Thomas H. Davenport |
Autore | Affelt Amy L. <1970-> |
Pubbl/distr/stampa | Medford, New Jersey : , : Information Today, Inc., , 2015 |
Descrizione fisica | 1 online resource (240 p.) |
Disciplina | 020.23 |
Soggetto topico |
Librarians - Effect of technological innovations on
Library science - Vocational guidance Information science - Vocational guidance Big data Data libraries Database searching Electronic information resource literacy |
ISBN | 1-57387-707-7 |
Classificazione | 32.24 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Big data : everything old is new again -- What the elves do -- The 21st century librarian's skillset : the role of big data -- Dipping a toe in the water : simple tools to get you started -- Big data applications and initiatives by industry -- Big data projects for info pros -- Big data communications framework : insights into big data mastery for information professionals -- Data scientists wanted : career opportunities in a big data world. |
Record Nr. | UNINA-9910817037103321 |
Affelt Amy L. <1970-> | ||
Medford, New Jersey : , : Information Today, Inc., , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advances in data mining and modeling, Hong Kong, 27-28 June 2002 [[electronic resource] /] / editors, Wai-Ki Ching, Michael Kwok-Po Ng |
Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, 2003 |
Descrizione fisica | 1 online resource (197 p.) |
Disciplina |
005.741
006.312 |
Altri autori (Persone) |
ChingWai Ki <1969->
NgMichael K |
Soggetto topico |
Data mining
Database searching |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-37299-4
9786611372996 981-270-495-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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 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 |
Record Nr. | UNINA-9910451311303321 |
Singapore ; ; River Edge, NJ, : World Scientific, 2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advances in data mining and modeling, Hong Kong, 27-28 June 2002 [[electronic resource] /] / editors, Wai-Ki Ching, Michael Kwok-Po Ng |
Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, 2003 |
Descrizione fisica | 1 online resource (197 p.) |
Disciplina |
005.741
006.312 |
Altri autori (Persone) |
ChingWai Ki <1969->
NgMichael K |
Soggetto topico |
Data mining
Database searching |
ISBN |
1-281-37299-4
9786611372996 981-270-495-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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 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 |
Record Nr. | UNINA-9910783917603321 |
Singapore ; ; River Edge, NJ, : World Scientific, 2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advances in data mining and modeling, Hong Kong, 27-28 June 2002 / / editors, Wai-Ki Ching, Michael Kwok-Po Ng |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, 2003 |
Descrizione fisica | 1 online resource (197 p.) |
Disciplina |
005.741
006.312 |
Altri autori (Persone) |
ChingWai Ki <1969->
NgMichael K |
Soggetto topico |
Data mining
Database searching |
ISBN |
1-281-37299-4
9786611372996 981-270-495-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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 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 |
Record Nr. | UNINA-9910828813403321 |
Singapore ; ; River Edge, NJ, : World Scientific, 2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advances in knowledge discovery and data mining : 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010 : proceedings. Part I / / Mohammed J. Zaki ... [et al.], (eds.) |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | New York, : Springer, 2010 |
Descrizione fisica | 1 online resource (506 p. 167 illus.) |
Disciplina | 006.312 |
Altri autori (Persone) | ZakiMohammed J |
Collana |
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in artificial intelligence |
Soggetto topico |
Database management
Database searching Data mining |
ISBN |
1-280-38719-X
9786613565112 3-642-13657-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Keynote Speeches -- Empower People with Knowledge: The Next Frontier for Web Search -- Discovery of Patterns in Global Earth Science Data Using Data Mining -- Game Theoretic Approaches to Knowledge Discovery and Data Mining -- Session 1A. Clustering I -- A Set Correlation Model for Partitional Clustering -- iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment -- A Robust Seedless Algorithm for Correlation Clustering -- Integrative Parameter-Free Clustering of Data with Mixed Type Attributes -- Data Transformation for Sum Squared Residue -- Session 1B. Social Networks -- A Better Strategy of Discovering Link-Pattern Based Communities by Classical Clustering Methods -- Mining Antagonistic Communities from Social Networks -- As Time Goes by: Discovering Eras in Evolving Social Networks -- Online Sampling of High Centrality Individuals in Social Networks -- Estimate on Expectation for Influence Maximization in Social Networks -- Session 1C. Classification I -- A Novel Scalable Multi-class ROC for Effective Visualization and Computation -- Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL -- Rough Margin Based Core Vector Machine -- BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification -- A New Emerging Pattern Mining Algorithm and Its Application in Supervised Classification -- Session 2A. Privacy -- Hiding Emerging Patterns with Local Recoding Generalization -- Anonymizing Transaction Data by Integrating Suppression and Generalization -- Satisfying Privacy Requirements: One Step before Anonymization -- Computation of Ratios of Secure Summations in Multi-party Privacy-Preserving Latent Dirichlet Allocation -- Privacy-Preserving Network Aggregation -- Multivariate Equi-width Data Swapping for Private Data Publication -- Session 2B. Spatio-Temporal Mining -- Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets -- Mining Trajectory Corridors Using Fréchet Distance and Meshing Grids -- Subseries Join: A Similarity-Based Time Series Match Approach -- TWave: High-Order Analysis of Spatiotemporal Data -- Spatial Clustering with Obstacles Constraints by Dynamic Piecewise-Mapped and Nonlinear Inertia Weights PSO -- Session 3A. Pattern Mining -- An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns -- Valency Based Weighted Association Rule Mining -- Ranking Sequential Patterns with Respect to Significance -- Mining Association Rules in Long Sequences -- Mining Closed Episodes from Event Sequences Efficiently -- Most Significant Substring Mining Based on Chi-square Measure -- Session 3B. Recommendations/Answers -- Probabilistic User Modeling in the Presence of Drifting Concepts -- Using Association Rules to Solve the Cold-Start Problem in Recommender Systems -- Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems -- Cost-Sensitive Listwise Ranking Approach -- Mining Wikipedia and Yahoo! Answers for Question Expansion in Opinion QA -- Answer Diversification for Complex Question Answering on the Web -- Vocabulary Filtering for Term Weighting in Archived Question Search -- Session 3C. Topic Modeling/Information Extraction -- On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations -- Supervising Latent Topic Model for Maximum-Margin Text Classification and Regression -- Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand -- Efficient Deep Web Crawling Using Reinforcement Learning -- Topic Decomposition and Summarization -- Session 4A. Skylines/Uncertainty -- UNN: A Neural Network for Uncertain Data Classification -- SkyDist: Data Mining on Skyline Objects -- Multi-Source Skyline Queries Processing in Multi-Dimensional Space -- Efficient Pattern Mining of Uncertain Data with Sampling -- Classifier Ensemble for Uncertain Data Stream Classification. |
Record Nr. | UNINA-9910484673003321 |
New York, : Springer, 2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in knowledge discovery and data mining : 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009 ; proceedings / / Thanaruk Theeramunkong ... [et al.] (eds.) |
Edizione | [1st ed. 2009.] |
Pubbl/distr/stampa | Berlin, : Springer, c2009 |
Descrizione fisica | 1 online resource (XXIV, 1076 p.) |
Disciplina | 006.3 |
Altri autori (Persone) | TheeramunkongThanaruk |
Collana |
Lecture notes in computer science
Lecture notes in artificial intelligence |
Soggetto topico |
Database management
Database searching Data mining |
ISBN | 3-642-01307-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Keynote Speeches -- Regular Papers -- Short Papers. |
Altri titoli varianti | PAKDD 2009 |
Record Nr. | UNINA-9910483808403321 |
Berlin, : Springer, c2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in knowledge discovery and data mining : 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 : proceedings / / Takashi Washio ... [et al.] (eds.) |
Edizione | [1st ed. 2008.] |
Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2008 |
Descrizione fisica | 1 online resource (XXIV, 1102 p.) |
Disciplina | 006.3 |
Altri autori (Persone) | WashioTakashi <1960-> |
Collana |
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science,Lecture notes in artificial intelligence |
Soggetto topico |
Database management
Database searching Data mining |
ISBN | 3-540-68125-6 |
Classificazione | 54.64 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Keynote Speech -- Invited Speeches -- Long Papers -- Regular Papers -- Short Papers. |
Altri titoli varianti |
Pacific-Asia Conference on Knowledge Discovery and Data Mining
PAKDD 2008 |
Record Nr. | UNINA-9910768437703321 |
Berlin ; ; New York, : Springer, c2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in knowledge discovery and data mining : 11th Pacific-Asia conference, PAKDD 2007, Nanjing, China, May 22-25, 2007 ; proceedings / / Qiang Yang; Zhi-Hua Zhou; Hang Li |
Edizione | [1st ed. 2007.] |
Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer, , [2007] |
Descrizione fisica | 1 online resource (1183 p.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Database searching
Data mining Database management |
ISBN |
1-280-94403-X
9786610944033 3-540-71701-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Keynote Speeches -- Regular Papers -- Short Papers. |
Record Nr. | UNISA-996465629403316 |
Berlin, Germany ; ; New York, New York : , : Springer, , [2007] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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