Advances in Knowledge Discovery and Data Mining
14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part I
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Article
Neural Models for Generating Natural Language Summaries from Temporal Personal Health Data
With an increased interest in the production of personal health technologies designed to track user data (e.g., nutrient intake, step counts), there is now more opportunity than ever to surface meaningful beh...
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Article
GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks
The conversation machine comprehension (MC) task aims to answer questions in the multi-turn conversation for a single passage. However, recent approaches don’t exploit information from historical conversations...
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Article
Predicting Firm Financial Performance from SEC Filing Changes Using Automatically Generated Dictionary
Textual data are increasingly used to predict firm performance, however extracting useful signals towards serving this goal with a continuously growing repository of financial reports and documents is challeng...
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Chapter
Semantic Technologies for Clinically Relevant Personal Health Applications
Despite recent advances in digital health solutions and machine learning, personal health applications that aim to modify health behaviors are still limited in their ability to offer more personalized decision...
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Chapter and Conference Paper
A Comparative Analysis of Temporal Long Text Similarity: Application to Financial Documents
Temporal text documents exist in many real-world domains. These may span over long periods of time during which there tend to be many variations in the text. In particular, variations or the similarities in a ...
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Chapter and Conference Paper
MALOnt: An Ontology for Malware Threat Intelligence
Malware threat intelligence uncovers deep information about malware, threat actors, and their tactics, Indicators of Compromise, and vulnerabilities in different platforms from scattered threat sources. This c...
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Chapter and Conference Paper
FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation
The proliferation of recipes and other food information on the Web presents an opportunity for discovering and organizing diet-related knowledge into a knowledge graph. Currently, there are several ontologies ...
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Reference Work Entry In depth
Closed Itemset Mining and Nonredundant Association Rule Mining
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Living Reference Work Entry In depth
Closed Itemset Mining and Non-redundant Association Rule Mining
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Article
Sampling frequent and minimal boolean patterns: theory and application in classification
We tackle the challenging problem of mining the simplest Boolean patterns from categorical datasets. Instead of complete enumeration, which is typically infeasible for this class of patterns, we develop effect...
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Graph mining for discovering infrastructure patterns in configuration management databases
A configuration management database (CMDB) can be considered to be a large graph representing the IT infrastructure entities and their interrelationships. Mining such graphs is challenging because they are lar...
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GRAIL: a scalable index for reachability queries in very large graphs
Given a large directed graph, rapidly answering reachability queries between source and target nodes is an important problem. Existing methods for reachability tradeoff indexing time and space versus query tim...
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Chapter
A Journey in Pattern Mining
The traditional research paradigm in the sciences was hypothesis-driven. Over the last decade or so, this hypothesis-driven view has been replaced with a data-driven view of scientific research. In almost all ...
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Article
SimClus: an effective algorithm for clustering with a lower bound on similarity
Clustering algorithms generally accept a parameter k from the user, which determines the number of clusters sought. However, in many application domains, like document categorization, social network clustering, a...
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Chapter
A Survey of Link Prediction in Social Networks
Link prediction is an important task for analying social networks which also has applications in other domains like, information retrieval, bioinformatics and e-commerce. There exist a variety of techniques fo...
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Chapter and Conference Paper
Is There a Best Quality Metric for Graph Clusters?
Graph clustering, the process of discovering groups of similar vertices in a graph, is a very interesting area of study, with applications in many different scenarios. One of the most important aspects of grap...
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Article
Open AccessFlexSnap: Flexible Non-sequential Protein Structure Alignment
Proteins have evolved subject to energetic selection pressure for stability and flexibility. Structural similarity between proteins that have gone through conformational changes can be captured effectively if ...
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Book and Conference Proceedings
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Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II
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Chapter and Conference Paper
Practical Graph Mining
Given the ubiquity of large-scale graphs and networks, graph mining has rapidly grown to occupy a center-stage within data analysis and mining. In this talk I will present our recent work on mining interesting...
