Login | Sign Up | Settings | Wish List

 



Searching ...
0 %

Books by Lise Getoor






Introduction to Statistical Relational Learning
(Adaptive Computation and Machine Learning series)
by Lise Getoor, Ben Taskar, Wen-Tau Yih, Daphne Koller, Nir Friedman, Charles Sutton, Andrew Mccallum, Avi Pfeffer, Pieter Abbeel, Ming-Fai Wong, David Heckerman, Chris Meek, Jennifer Neville, David Jensen, James Cussens, Assistant Professor Eyal Amir, Luc De Raedt, Niels Pahlavi, Pedro Domingos, Matthew Richardson, Brian Milch, Bhaskara Marthi, Stuart Russell, Daniel L. Ong, Andrey Kolobov, Assistant Professor Elizabeth Burnside, Alexandrin Popescul, Jesse Davis, Assistant Professor Alan Fern, Ines Dutra, David Page, Raghu Ramakrishnan, Jude Shavlik, Vitor Santos Costa, Associate Professor Robert Givan, Sungwook Yoon, Assistant Professor Razvan Bunescu, Professor Dan Roth, Raymond J. Mooney, Associate Professor Kristian Kersting, Sašo Džeroski, Stephen Muggleton, David Sontag, Lyle H. Ungar
Paperback, 608 Pages, Published 2019 by The Mit Press
ISBN-13: 978-0-262-53868-8, ISBN: 0-262-53868-7

"Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications.Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on ideas from probability ..."






Introduction to Statistical Relational Learning(1st Edition)
(Adaptive Computation and Machine Learning series)
by Lise Getoor, Ben Taskar, Nir Friedman, Andrew Mccallum, Avi Pfeffer, Pieter Abbeel, Daphne Koller, Charles Sutton, David Heckerman, Chris Meek, Jennifer Neville, David Jensen, James Cussens, Kristian Kersting, Ming-Fai Wong, Stephen Muggleton, Niels Pahlavi, Pedro Domingos, Matthew Richardson, Brian Milch, Sašo Džeroski, Bhaskara Marthi, Stuart Russell, David Sontag, Andrey Kolobov, Eyal Amir, Alexandrin Popescul, Luc De Raedt, Daniel L. Ong, Lyle H. Ungar, Jesse Davis, Elizabeth Burnside, Ines Dutra, David Page, Raghu Ramakrishnan, Jude Shavlik, Vitor Santos Costa, Alan Fern, Sungwook Yoon, Robert Givan, Razvan Bunescu, Raymond J. Mooney, Dan Roth, Wen-Tau Yih, Francis Bach, Saå¡O Då¾eroski, Mit Pr
Hardcover, 608 Pages, Published 2007 by The Mit Press
ISBN-13: 978-0-262-07288-5, ISBN: 0-262-07288-2

"Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on ideas from probability theory and statistics to address uncertainty while incorporating tools from logic, databases and programming languages to represent structure. In Introduction to Statistical ..."






Privacy in Social Networks
(Synthesis Lectures on Data Mining and Knowledge Discovery)
by Elena Zheleva, Evimaria Terzi, Lise Getoor
Paperback, 86 Pages, Published 2012 by Morgan & Claypool Publishers
ISBN-13: 978-1-60845-862-2, ISBN: 1-60845-862-8

"This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We ..."






Success Factor X
Inspiration, Wisdom, and Advice from 50 of America's Best
by Jill Liberman, Sean Kanan, Guozhu Dong, Jiawei Han, Lise Getoor, Wei Wang, Johannes Gehrke
Hardcover, 176 Pages, Published 2019 by Plain Sight
ISBN-13: 978-1-4621-3607-0, ISBN: 1-4621-3607-9

"What is that elusive quality, that X factor that makes some people wildly successful? By asking some of the most notable leaders in the world, actor, author, and producer Sean Kanan and entrepreneur, author, and motivational speaker Jill Liberman might just have found the answers. In this compilation, sit at the feet of Tony Robbins, Mark Cuban, Jason Alexander, Sara Blakely, Don King, and more to learn the truth about success."






Introduction to Statistical Relational Learning
(Adaptive Computation and Machine Learning series)
by Lise Getoor, Ben Taskar
Printed Access Code, 608 Pages, Published 2007 by The Mit Press
ISBN-13: 978-0-262-25623-0, ISBN: 0-262-25623-1

"Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on ideas from probability theory and statistics to address uncertainty while incorporating tools from logic, databases and programming languages to represent structure. In Introduction to Statistical ..."






Learning Statistical Models from Relational Data
Papers from the Aaai Workshop (Technical Reports, Vol. Ws-Oo-06)
by Lise Getoor, David Jensen
Plastic Comb, 62 Pages, Published 2000 by Amer Assn For Artificial
ISBN-13: 978-1-57735-121-4, ISBN: 1-57735-121-5






Exploiting the Power of Group Differences
Using Patterns to Solve Data Analysis Problems (Synthesis Lectures on Data Mining and Knowledge Discovery)
by Guozhu Dong, Jiawei Han, Lise Getoor, Wei Wang, Johannes Gehrke, Robert Grossman
Hardcover, 148 Pages, Published 2019 by Morgan & Claypool Publishers
ISBN-13: 978-1-68173-504-7, ISBN: 1-68173-504-0

"This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems. The methods are all based on techniques that exploit the power of group differences. They make use of group differences represented using emerging patterns (aka contrast patterns), which are patterns that match significantly different numbers of instances in different data groups. A large number of applications outside ..."






Mining Structures of Factual Knowledge from Text
An Effort-Light Approach (Synthesis Lectures on Data Mining and Knowledge Discovery)
by Jiawei Han, Xiang Ren, Lise Getoor, Wei Wang
Hardcover, 199 Pages, Published 2018 by Morgan & Claypool
ISBN-13: 978-1-68173-394-4, ISBN: 1-68173-394-3

"The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora. Departing from many exi ..."






Synthesis Lectures on Assistive, Rehabilitative, and Health-Preserving Technologies Ser.
Fieldwork for Healthcare : Case Studies Investigating Human Factors in Computing Systems
by Dominic Furniss, Aisling Ann O'kane, Svetlena Taneva, Rebecca Randell, Lise Getoor
Digital, 129 Pages, Published 2014 by Morgan & Claypool
ISBN-13: 978-1-62705-320-4, ISBN: 1-62705-320-4

"We would like to thank all of our workshop participants for making the event a success. We would also like to thank Ron Baecker and Diane Cerra, on the publishing side, for their support and advice. WORKSHOP COMMITTEE Gregory Abowd, ..."






Synthesis Lectures on Data Mining and Knowledge Discovery(2nd Edition)
Synthesis Lectuers on Data Mining and Knowledge Discovery : Privacy in Social Networks
by Elena Zheleva, Evimaria Terzi, Lise Getoor
Digital, 85 Pages, Published 2013 by Morgan & Claypool
ISBN-13: 978-1-60845-863-9, ISBN: 1-60845-863-6

"Adding the links between the one-hop neighbors of a node, sometimes referred to as the 1.5-hop neighborhood, creates a richer structural signature. Based on this, Ana and Don still have the same subgraph signature, and so do Emma and Fabio. However, Gina has a unique signature and is easily identifiable by an adversary who has knowledge ofher true 1.5-hop neighborhood structure. Zhou and Pei [107] formalize the desired property to ..."






Introduction to Statistical Relational Learning
by Lise Getoor, Ben Taskar
Published 2007
ISBN-13: 978-1-4356-0311-0, ISBN: 1-4356-0311-7






KDD-2003
proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2003, Washington, DC, USA
by Ted Senator, Lise Getoor, Pedro Domingos, Christos Faloutsos
Paperback, 762 Pages, Published 2003 by Assn For Computing Machinery
ISBN-13: 978-1-58113-737-8, ISBN: 1-58113-737-0

"The problem is that such a sample may not adequately represent the entire data set due to random fluctuations in the sampling process. This difficulty is particularly apparent at. small sample sizes. In this paper we introduce a novel data-reduction method, called EASE (Epsilon Approximation: Sampling Enabled) , that is especially designed for categorical count data.' This algorithm 59 Efficient Data Reduction with EASE Herve Bronni ..."






Exploiting the Power of Group Differences
Using Patterns to Solve Data Analysis Problems (Synthesis Lectures on Data Mining and Knowledge Discovery)
by Guozhu Dong, Jiawei Han, Lise Getoor
Paperback, 148 Pages, Published 2019 by Morgan & Claypool Publishers
ISBN-13: 978-1-68173-502-3, ISBN: 1-68173-502-4

"This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems. The methods are all based on techniques that exploit the power of group differences. They make use of group differences represented using emerging patterns (aka contrast patterns), which are patterns that match significantly different numbers of instances in different data groups. A large number of applications outside ..."






Mining Structures of Factual Knowledge from Text
An Effort-light Approach (Synthesis Lectures on Data Mining and Knowledge Discovery)
by Jiawei Han, Xiang Ren, Lise Getoor, Wei Wang, Johannes Gehrke, Robert Grossman
Paperback, 199 Pages, Published 2018 by Morgan & Claypool
ISBN-13: 978-1-68173-392-0, ISBN: 1-68173-392-7

"The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora. Departing from many exi ..."






Individual and Collective Graph Mining
Principles, Algorithms, and Applications (Synthesis Lectures on Data Mining and Knowledge Discovery)
by Danai Koutra, Christos Faloutsos, Jiawei Han, Lise Getoor, Wei Wang
Hardcover, 206 Pages, Published 2017 by Morgan & Claypool
ISBN-13: 978-1-68173-247-3, ISBN: 1-68173-247-5

"Graphs naturally represent information ranging from links between web pages, to communication in email networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the most important structures and summarize them? How can we efficiently visualize them? How can we detect anomalies that indicate critical events, s ..."






Individual and Collective Graph Mining
Principles, Algorithms, and Applications (Synthesis Lectures on Data Mining and Knowledge Discovery)
by Danai Koutra, Christos Faloutsos, Jiawei Han, Lise Getoor, Wei Wang
Paperback, 206 Pages, Published 2017 by Morgan & Claypool
ISBN-13: 978-1-68173-039-4, ISBN: 1-68173-039-1

"Graphs naturally represent information ranging from links between web pages, to communication in email networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the most important structures and summarize them? How can we efficiently visualize them? How can we detect anomalies that indicate critical events, s ..."






Essentials of Pattern Mining(1st Edition)
(Synthesis Lectures on Data Mining and Knowledge Discovery)
by Siegfried Nijssen, Luc De Raedt, Albrecht Zimmermann, Bjorn Bringmann, Bjoern Bringmann, Jiawei Han, Lise Getoor, Wei Wang, Johannes Gehrke
Paperback, 100 Pages, Published 2016 by Morgan & Claypool
ISBN-13: 978-1-60845-722-9, ISBN: 1-60845-722-2

"Knowledge Discovery from Databases (KDD) and Data Mining (DM) are general terms for a research area that deals with constructing models from data for predictive, descriptive, or summarizing purposes. Existing text books provide a broad overview of these problems and usually devote most attention to topics such as clustering and classification. Their discussions of pattern mining are often restricted to the basics of itemset mining and a ..."






Provenance Data in Social Media
(Synthesis Lectures on Data Mining and Knowledge Discovery)
by Geoffrey Barbier, Huan Liu, Zhuo Feng, Pritam Gundecha, Jiawei Han, Lise Getoor, Wei Wang, Johannes Gehrke, Robert Grossman
Paperback, 84 Pages, Published 2013 by Morgan & Claypool Publishers
ISBN-13: 978-1-60845-783-0, ISBN: 1-60845-783-4

"Social media shatters the barrier to communicate anytime anywhere for people of all walks of life. The publicly available, virtually free information in social media poses a new challenge to consumers who have to discern whether a piece of information published in social media is reliable. For example, it can be difficult to understand the motivations behind a statement passed from one user to another, without knowing the person who ori ..."






Privacy in Social Networks(1st Edition)
(Synthesis Lectures on Data Mining and Knowledge Discovery)
by Zheleva, Elena, Terzi, Evimaria, Getoor, Lise
Trade Paperback, 106 Pages, Published 2012 by Springer
ISBN-13: 978-3-031-00773-6, ISBN: 3-031-00773-5






Introduction to Statistical Relational Learning
by Lise Getoor
Ebook
ISBN-13: , ISBN: 



Continue Search >>

All Authors

Lise Getoor

Jiawei Han

Wei Wang

Johannes Gehrke

Ben Taskar

David Jensen

Pedro Domingos

Luc De Raedt

Guozhu Dong

Robert Grossman


All Bindings

Paperback

Hardcover

Unknown

eBook


All Editions

1st Edition

2nd Edition

Other


All Years

2019

2018

2017

2016

2014

2013

2012

2007

2003

2000


All Regions

English

German

Uknown