Data Mining and Knowledge Discovery

SERIES EDITORS
Jiawei Han, University of Illinois at Urbana-Champaign
Lise Getoor, University of Maryland
Wei Wang, University of North Carolina, Chapel Hill
Johannes Gehrke, Cornell University
Robert Grossman, University of Chicago
The series publishes on topics pertaining to data mining, web mining, text mining, and knowledge discovery, including tutorials and case studies. Potential topics include: data mining algorithms, innovative data mining applications, data mining systems, mining text, web and semi-structured data, high performance and parallel/distributed data mining, data mining standards, data mining and knowledge discovery framework and process, data mining foundations, mining data streams and sensor data, mining multi-media data, mining social networks and graph data, mining spatial and temporal data, pre-processing and post-processing in data mining, robust and scalable statistical methods, security, privacy, and adversarial data mining, visual data mining, visual analytics, and data visualization.

	Mining Structures of Factual Knowledge from Text Xiang Ren, Jiawei Han 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 i… Publication Date: August, 2018 Read More
	Individual and Collective Graph Mining Danai Koutra, Christos Faloutsos 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 delug… Publication Date: October, 2017 Read More
	Phrase Mining from Massive Text and Its Applications Jialu Liu, Jingbo Shang, Jiawei Han 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, attr… Publication Date: March, 2017 Read More
	Exploratory Causal Analysis with Time Series Data James M. McCracken 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 … Publication Date: April, 2016 Read More
	Mining Human Mobility in Location-Based Social Networks Huiji Gao, Huan Liu 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-base… Publication Date: August, 2015 Read More
	Mining Latent Entity Structures Chi Wang, Jiawei Han 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 publicati… Publication Date: March, 2015 Read More
	Probabilistic Approaches to Recommendations Nicola Barbieri, Giuseppe Manco, Ettore Ritacco 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 c… Publication Date: 05/01/2014 Read More
	Outlier Detection for Temporal Data Manish Gupta, Jing Gao, Charu Aggarwal, Jiawei Han, 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. Ini… Publication Date: 03/01/2014 Read More
	Provenance Data in Social Media Geoffrey Barbier , Zhuo Feng , Pritam Gundecha, Huan Liu 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 informatio… Publication Date: 05/01/2013 Read More
	Privacy in Social Networks Elena Zheleva, Evimaria Terzi, Lise Getoor 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 perspe… Publication Date: 01/01/2012 Read More
	Mining Heterogeneous Information Networks Yizhou Sun, Jiawei Han 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 heterogene… Publication Date: 01/01/2012 Read More
	Graph Mining Deepayan Chakrabarti, Christos Faloutsos 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, f… Publication Date: 01/01/2012 Read More
	Ensemble Methods in Data Mining Giovanni Seni, John Elder 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 b… Publication Date: 01/01/2010 Read More
	Community Detection and Mining in Social Media Lei Tang, Huan Liu 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, comm… Publication Date: 01/01/2010 Read More
	Modeling and Data Mining in Blogosphere Nitin Agarwal, Huan Liu 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 pe… Publication Date: 01/01/2009 Read More