Synthesis Lectures on Data Mining and Knowledge Discovery – serie
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25 produkter
Modeling and Data Mining in Blogosphere
Häftad, 2009
279 kr
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This book offers a comprehensive overview of the various concepts and research issues about blogs or weblogs. It introduces techniques and approaches, tools and applications, and evaluation methodologies with examples and case studies. Blogs allow people to express their thoughts, voice their …
Ensemble Methods in Data Mining
Improving Accuracy Through Combining Predictions
Häftad, 2010
312 kr
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Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade. They combine multiple models into one usually more accurate than the best of its components. Ensembles can provide a critical boost to industrial challenges -- from investment …
Community detection and mining in social media
Häftad, 2010
312 kr
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The past decade has witnessed the emergence of participatory Web and social media, bringing people together in many creative ways. Millions of users are playing, tagging, working, and socializing online, demonstrating new forms of collaboration, communication, and intelligence that were hardly …
Privacy in Social Networks
Av Elena Zheleva, Evimaria Terzi m. fl.
Häftad, 2012
312 kr
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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 …
Mining Heterogeneous Information Networks
Principles and Methodologies
Av Yizhou Sun, Jiawei Han
Häftad, 2012
366 kr
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Real-world physical and abstract data objects are interconnected, forming gigantic, interconnected networks. By structuring these data objects and interactions between these objects into multiple types, such networks become semi-structured heterogeneous information networks. Most real-world …
Graph Mining
Laws, Tools, and Case Studies
Av Deepayan Chakrabarti, Christos Faloutsos
Häftad, 2012
388 kr
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What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks, …
Provenance Data in Social Media
Av Geoffrey Barbier, Zhuo Feng m. fl.
Häftad, 2013
279 kr
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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 …
Outlier Detection for Temporal Data
Av Manish Gupta, Jing Gao m. fl.
Häftad, 2014
388 kr
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Outlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on …
Probabilistic Approaches to Recommendations
Av Nicola Barbieri, Giuseppe Manco m. fl.
Häftad, 2014
388 kr
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The importance of accurate recommender systems has been widely recognized by academia and industry, and recommendation is rapidly becoming one of the most successful applications of data mining and machine learning. Understanding and predicting the choices and preferences of users is a challenging …
Mining Latent Entity Structures
Av Chi Wang, Jiawei Han
Häftad, 2015
551 kr
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The "big data" era is characterized by an explosion of information in the form of digital data collections, ranging from scientific knowledge, to social media, news, and everyone's daily life. Examples of such collections include scientific publications, enterprise logs, news articles, social …
Mining Human Mobility in Location-Based Social Networks
Häftad, 2015
366 kr
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In recent years, there has been a rapid growth of location-based social networking services, such as Foursquare and Facebook Places, which have attracted an increasing number of users and greatly enriched their urban experience. Typical location-based social networking sites allow a user to "check …
Exploratory Causal Analysis with Time Series Data
Häftad, 2016
497 kr
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Many scientific disciplines rely on observational data of systems for which it is difficult (or impossible) to implement controlled experiments. Data analysis techniques are required for identifying causal information and relationships directly from such observational data. This need has led to the …
Phrase Mining from Massive Text and Its Applications
Av Jialu Liu, Jingbo Shang m. fl.
Häftad, 2017
366 kr
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A lot of digital ink has been spilled on "big data" over the past few years. Most of this surge owes its origin to the various types of unstructured data in the wild, among which the proliferation of text-heavy data is particularly overwhelming, attributed to the daily use of web documents, …
Individual and Collective Graph Mining
Principles, Algorithms, and Applications
Av Danai Koutra, Christos Faloutsos
Häftad, 2017
660 kr
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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 …
Mining Structures of Factual Knowledge from Text
An Effort-Light Approach
Av Xiang Ren, Jiawei Han
Häftad, 2018
660 kr
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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 …
Exploiting the Power of Group Differences
Using Patterns to Solve Data Analysis Problems
Av Guozhu Dong
Häftad, 2019
660 kr
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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), …
Multidimensional Mining of Massive Text Data
Av Chao Zhang, Jiawei Han
Häftad, 2019
605 kr
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Unstructured text, as one of the most important data forms, plays a crucial role in data-driven decision making in domains ranging from social networking and information retrieval to scientific research and healthcare informatics. In many emerging applications, people's information need from text …
Detecting Fake News on Social Media
Häftad, 2019
605 kr
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In the past decade, social media has become increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have …
Automated Taxonomy Discovery and Exploration
Inbunden, 2022
624 kr
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This book provides a principled data-driven framework that progressively constructs, enriches, and applies taxonomies without leveraging massive human annotated data. Traditionally, people construct domain-specific taxonomies by extensive manual curations, which is time-consuming and costly. In …
Automated Taxonomy Discovery and Exploration
Häftad, 2023
624 kr
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This book provides a principled data-driven framework that progressively constructs, enriches, and applies taxonomies without leveraging massive human annotated data. Traditionally, people construct domain-specific taxonomies by extensive manual curations, which is time-consuming and costly. In …
Advances in Graph Neural Networks
Av Chuan Shi, Xiao Wang m. fl.
Inbunden, 2022
660 kr
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This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of advanced graph representation learning methods with a …
Advances in Graph Neural Networks
Av Chuan Shi, Xiao Wang m. fl.
Häftad, 2023
660 kr
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This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of advanced graph representation learning methods with a …
Correlation Clustering
Av Francesco Bonchi, David García-Soriano m. fl.
Häftad, 2022
660 kr
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Given a set of objects and a pairwise similarity measure between them, the goal of correlation clustering is to partition the objects in a set of clusters to maximize the similarity of the objects within the same cluster and minimize the similarity of the objects in different clusters. In most of …
Deep Learning for Polymer Discovery
Foundation and Advances
Inbunden, 2025
442 kr
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This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. These topics are crucial as they address critical challenges in polymer science and engineering. With a growing demand for new materials with specific …
Deep Learning for Polymer Discovery
Foundation and Advances
Häftad, 2026
442 kr
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This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. These topics are crucial as they address critical challenges in polymer science and engineering. With a growing demand for new materials with specific …
