yusuke1997/dblp-id-title huggingface dataset:
The Weka solution to the 2004 KDD Cup
Finding Multidimensional Simpson's Paradox
Discovering Geographic Knowledge in Data Rich Environments: A Report on a Specialist Meeting
Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study
Quality-driven resource-adaptive data stream mining?
Rule-based Extraction of Experimental Evidence in the Biomedical Domain - the Kdd Cup (Task 1)
Mining Data Streams under Block Evolution
Mining Sales Data using a Neural Network Model of Market Response
P-tree Classification of Yeast Gene Deletion Data
The Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies
Mining social media with social theories: a survey
Tracking and analyzing dynamics of news-cycles during global pandemics: a historical perspective
EqRank: a self-consistent equivalence relation on graph vertexes
Eighth workshop on mining and learning with graphs
Interview: Michael Brodie, leading database researcher, industry leader, thinker
A privacy-aware framework for participatory sensing
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
Data Mining, National Security, Privacy and Civil Liberties
Relevance search and anomaly detection in bipartite graphs
A conversation with Dr. Haifeng Wang
A conversation with Professor Ruqian Lu et al
Mining concise representations of frequent patterns through conjunctive and disjunctive search spaces
Interface '99: A Data Mining Overview
Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method
Useful patterns (UP'10) ACM SIGKDD workshop report
Activity recognition using cell phone accelerometers
NASA Workshop on Issues in the Application of Data Mining to Scientific Data
Mining knowledge from text using information extraction
Behind-the-Scenes Data Mining: A Report on the KDD-98 Panel
Integrating Data Mining into Vertical Solutions
Mining logs files for data-driven system management
Championing of an LTV model at LTC
Solve for Good: A Data Science for Social Good Marketplace
Studying the source code of scientific research
Unsupervised pattern mining from symbolic temporal data
Phenomenal Data Mining: From Data to Phenomena
KDD-2003 workshop on data mining standards, services and platforms (DM-SSP 03)
Load-Balancing the Distance Computations in Record Linkage
Shedding Light on the Performance of Solar Panels: A Data-Driven View
Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking
KDD2008 workshop report DMMT'08: data mining using matrices and tensors
KDD-2006 workshop report: Theory and Practice of Temporal Data Mining
The Interface'98 Conference - a Resource for KDD
The Data Problem in Data Mining
The WEKA data mining software: an update
A data cleaning solution by Perl scripts for the KDD Cup 2003 task 2
Modifying boosted trees to improve performance on task 1 of the 2006 KDD challenge cup
Ian Ayres's Super Crunchers is not about super crunching
Using text mining and natural language processing for health care claims processing
Span-Oriented Information Extraction: A Unified Framework
10th international French speaking conference on knowledge discovery and management (EGC2010): conference report
A study on the importance of and time spent on different modeling steps
Computation in large-scale scientific and internet data applications is a focus of MMDS 2010
Experiences with Contrastive Predictive Coding in Industrial Time-Series Classification
Breast cancer identification: KDD CUP winner's report
Investigating thresholding techniques in a real predictive maintenance scenario
KDD-99 Workshop on Large-Scale Parallel KDD Systems
Workshop Report: The Fourth Workshop on Mining Scientific Datasets
Heterogeneous network-based trust analysis: a survey
The Case for Hybrid Multi-Objective Optimisation in High-Stakes Machine Learning Applications
8 th French-speaking conference on knowledge discovery and management (EGC2008): conference report
Is pushing constraints deeply into the mining algorithms really what we want?: an alternative approach for association rule mining
KNIME - the Konstanz information miner: version 2.0 and beyond
On cross-validation and stacking: building seemingly predictive models on random data
Data mining and audience intelligence for advertising
Outlier ensembles: position paper
Towards Effective and Interpretable Data Mining by Visual Interaction
A framework for mining interesting pattern sets
MetaLearning with Graph Neural Networks: Methods and Applications
KDD CUP-2005 report: facing a great challenge
Mining Frequent Patterns with Counting Inference
Major components of the gravity recommendation system
The 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004)
Database Privacy
Towards interactive exploration of gene expression patterns
KDD'99 Knowledge Discovery Contest
Citation prediction using time series approach KDD Cup 2003 (task 1)
Summary from the KDD-03 panel: data mining: the next 10 years
Link mining: a new data mining challenge
WebKDD-99: Workshop on Web Usage Analysis and User Profiling
Machine learning in low-level microarray analysis
KDD-2005 workshop report: Link Discovery: issues, approaches and application (LinkKDD-2005)
The Need for Interpretable Features: Motivation and Taxonomy
A Survey of Data Mining and Knowledge Discovery Software Tools
The Genomics of a Signaling Pathway: A KDD Cup Challenge Task
Introduction to the special section on educational data mining
A Survey on Anomaly detection in Evolving Data: [with Application to Forest Fire Risk Prediction]
Protein matching with custom neural network objective functions
Text mining and natural language processing: introduction for the special issue
Exploring Large Language Models for Feature Selection: A Data-centric Perspective
BIOKDD 2002: Recent Advanced in Data Minig for Bioinformatics
PinKDD'07: privacy, security, and trust in KDD post-workshop report
Machine learning for streaming data: state of the art, challenges, and opportunities
Web for Data Mining: Organizing and Interpreting the Discovered Rules using the Web
Biological applications of multi-relational data mining
WEBKDD 2002 - Web Mining for Usage Patterns & Profiles
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Ensembles for unsupervised outlier detection: challenges and research questions a position paper
Big graph mining: algorithms and discoveries
Common Pitfalls in Training and Evaluating Recommender Systems
What is analytic infrastructure and why should you care?
Dynamic social network analysis using latent space models
Support Vector Machines: Hype or Hallelujah?
Exploiting succinct constraints using FP-trees
Model Builder for Predictive Analytics & Fair Isaac's approach to KDD Cup 2003
Privacy-enhanced linking
Mapping question items to skills with non-negative matrix factorization
Subspace clustering for high dimensional categorical data
Genetic Subtyping using Cluster Analysis
Extracting statistical data frames from text
A study of the behavior of several methods for balancing machine learning training data
KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond
Data mining methodologies for pharmacovigilance
Unexpected results in online controlled experiments
On the importance of sharing negative results
A baseline feature set for learning rhetorical zones using full articles in the biomedical domain
Blind Spots in AI: the Role of Serendipity and Equity in Algorithm-Based Decision-Making
KDD'99 Competition: Knowledge Discovery Contest
Report on KDD conference 2004 panel discussion can natural language processing help text mining?
A classical predictive modeling approach for task "Who rated what?" of the KDD CUP 2007
VDM@ECML/PKDD2001: The International Workshop on Visual Data Mining at ECML/PKDD 2001
Editorial: special issue on web content mining
Techniques for Automated Machine Learning
Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs
Blocking objectionable web content by leveraging multiple information sources
Report from Interface'98: Knowledge Discovery and the Interface of Computing and Statistics
Data-driven modeling and prediction of acute toxicity of pesticide residues
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective
Discovering interesting information with advances in web technology
Privacy in mobility data mining
Twitter analytics: a big data management perspective
KDD-Cup 2004: protein homology task
MobiMine: Monitoring the Stock Market from a PDA
Introduction to the special issue on data mining for health informatics
Systems Support for Scalable Data Mining
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs
Q 2 C@UST: our winning solution to query classification in KDDCUP 2005
Trajectory-based visual analysis of large financial time series data
Requirements for Clustering Data Streams
Report on the Malawi Data Science Bootcamp 2021
A Survey on Dialogue Systems: Recent Advances and New Frontiers
Research Issues of Outlier Detection in Trajectory Streams Using GPUs
Tenth international workshop on multimedia data mining
Data mining for improved cardiac care
A brief survey on sequence classification
Closing the gap: automated screening of tax returns to identify egregious tax shelters
Network reconstruction from dynamic data
Survey on web spam detection: principles and algorithms
The True Lift Model - A Novel Data Mining Approach to Response Modeling in Database Marketing
A conversation with Professor Zhongzhi Shi
The third SIGKDD workshop on mining temporal and sequential data (KDD/TDM 2004)
Data mining for hypertext: A tutorial survey
Data mining for business applications: KDD-2006 workshop
Microarray data mining: facing the challenges
A conversation with Professor Jianzhong Li
A conversation with the Chinese KDD leaders
MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report]
KDD-99: The Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
DDDM2007: Domain Driven Data Mining
Unexpected results in automatic list extraction on the web
Discovering informative connection subgraphs in multi-relational graphs
A workshop report: mining for and from the Semantic Web at KDD 2004
Theoretical Frameworks for Data Mining
Limitations of matrix completion via trace norm minimization
SOFSAT: Towards a Setlike Operator based Framework for Semantic Analysis of Text
Storage Systems: Organization, Performance, Coding, Reliability, and Their Data Processing, 1st Edition, October 13, 2021, Author: Alexander Thomasian
Text mining for product attribute extraction
Top Challenges from the first Practical Online Controlled Experiments Summit
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation
Broad Learning: : An Emerging Area in Social Network Analysis
Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data
Data Science for Earth: An Earth Day Report
The sum is greater than the parts: ensembling models of student knowledge in educational software
New Research Directions in Knowledge Discovery and Allied Spheres
On a multicriteria clustering approach for attack attribution
Introduction to The Special Section on Bias and Fairness in AI
Utility-based anonymization for privacy preservation with less information loss
MDM/KDD 2002: Multimedia Data Mining between Promises and Problems
Approximate inference, structure learning and feature estimation in Markov random fields: thesis abstract
Adversarial Attacks and Defenses on Graphs
Next challenges for adaptive learning systems
Is Less Really More? Fake News Detection with Limited Information
Mining heterogeneous information networks: a structural analysis approach
Graph-based relational learning: current and future directions
Data mining in bioinformatics: report on BIOKDD'03
Automatic Scientific Text Classification Using Local Patterns: KDD Cup 2002 (Task 1)
Higher order mining
Data Snooping, Dredging and Fishing: The Dark Side of Data Mining, A SIGKDD99 Panel Report
FG-SMOTE: Towards Fair Node Classification with Graph Neural Network
Fake News Detection on Social Media: A Data Mining Perspective
Apples-to-apples in cross-validation studies: pitfalls in classifier performance measurement
Report on the 3rd International Workshop onLearning to Quantify (LQ 2023)
Multi-relational data mining: an introduction
Resolving citations in a paper repository
Contextual crowd intelligence
MDM/KDD: Multimedia Data Mining for the Second Time
The problem of disguised missing data
Causal inference under limited outcome observability: A case study with Pinterest Conversion Lift
Trading expressivity for efficiency in statistical relational learning: Ph.D. thesis abstract
Report on the 1st International Workshop on Learning to Quantify (LQ 2021)
What are the grand challenges for data mining?: KDD-2006 panel report
Two Kinds of Discrimination in AI-Based Penal Decision-Making
Extreme re-balancing for SVMs: a case study
KDD Cup 2001 Report
Automatic in vivo microscopy video mining for leukocytes
A conversation with Professor Bo Zhang
Enabling more sophisticated gene expression analysis for understanding diseases and optimizing treatments
Data mining standards, services, and platforms 2004 (DM-SSP 2004)
WebKDD 2004: web mining and web usage analysis post-workshop report
Gene Expression and Protein Function: A Survey of Deep Learning Methods
Gendering algorithms in social media
OpenML: networked science in machine learning
A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019
Novel approaches for small biomolecule classification and structural similarity search
A novel approach to determine normal variation in gene expression data
Making pattern mining useful
Generalized Naive Bayes Classifiers
Introduction to the special issue on visual analytics and knowledge discovery
Scalability and efficiency in multi-relational data mining
Analyzing and explaining privacy risks on time series data: ongoing work and challenges
Results of the KDD'99 Classifier Learning
Mining motion patterns using color motion map clustering
Efficient algorithms for the mining of constrained frequent patterns from uncertain data
BIOKDD01: Workshop on Data Mining in Bioinformatics
Support vector machines classification with a very large-scale taxonomy
Report on WebDB'2000: 3rd International Workshop on the Web and Databases
Investigating and reflecting on the integration of automatic data analysis and visualization in knowledge discovery
Web Mining Research: A Survey
Drug exposure side effects from mining pregnancy data
Providing K-Anonymity in location based services
Report on BIOKDD04: workshop on data mining in Bioinformatics
A conversation with Dr. Yong Shi
20 years of pattern mining: a bibliometric survey
Client-side web mining for community formation in peer-to-peer environments
Mining Frequent Patterns by Pattern-Growth: Methodology and Implications
SIGKDD Chair's Message
KDD workshop on data mining standards, services & platforms (DM-SSP) 2006
BIOKDD 2005 workshop report
Graphical modeling based gene interaction analysis for microarray data
Visual analytics tools for analysis of movement data
Dual-Target Disjointed Cross-Domain Recommendation Mediated via Latent User Preferences
Interesting KDD-News from SIGMOD'99
Subspace clustering for high dimensional data: a review
KDD-Cup 2000 Organizers' Report: Peeling the Onion
Scaling big data mining infrastructure: the twitter experience
KDD-Cup 2004: results and analysis
Patent Mining: A Survey
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?
On the Management and Analysis of Our LifeSteps
Crime in Urban Areas: : A Data Mining Perspective
5th international workshop on knowledge discovery in inductive databases (KDID'06): workshop report
Concept-Based Knowledge Discovery in Texts Extracted from the Web
What is Tumblr: a statistical overview and comparison
Visual analysis of mixed data sets using interactive quantification
Link mining: a survey
One Class SVM for Yeast Regulation Prediction
Book Review: Data Mining Methods for Knowledge Discovery by K. Cios, W. Pedrycz and R. Swiniarski
ISI-KDD: SIGKDD workshop on intelligence and security informatics 2010
Overview of the 2003 KDD Cup
Development and user experiences of an open source data cleaning, deduplication and record linkage system
A Social Formalism and Survey for Recommender Systems
KDD-99 Classifier Learning Contest: LLSoft's Results Overview
An Interview with Dr. Charu Aggarwal, SIGKDD Innovation Award Winner
Towards Long Pattern Generation in Dense Databases
A note on "Beyond Market Baskets: Generalizing Association Rules to Correlations"
Statistical methods for joint data mining of gene expression and DNA sequence database
Evaluating the Predictive Performance of Positive- Unlabelled Classifiers: a brief critical review and practical recommendations for improvement
On exploiting hierarchical label structure with pairwise classifiers
The 4th international workshop on multimedia data mining (MDM/KDD2003)
Resource Description Framework: Metadata and Its Applications
Data mining with cellular automata
KDD2009 workshop report DMMT'09: data mining using matrices and tensors
When and How to Subsample: Report on the KDD-2001 Panel
An Interview with Dr. Charu Aggarwal, Winner of ACM SIGKDD 2022 Service Award
Interactive cluster analysis of diverse types of spatiotemporal data
From itemsets through trajectories to location based services: a knowledge hiding privacy approach
The Inference Problem: A Survey
Comprehensible classification models: a position paper
Extracting relational data from HTML repositories
Data Science for Food, Energy and Water: A Workshop Report
Hierarchical difference scatterplots: interactive visual analysis of data cubes
Learning preferences of new users in recommender systems: an information theoretic approach
Delve: A Dataset-Driven Scholarly Search and Analysis System
Predicting citation rates for physics papers: constructing features for an ordered probit model
Mining with rarity: a unifying framework
Machine learning methods applied to DNA microarray data can improve the diagnosis of cancer
Open source data mining: workshop report
Class Loaders in the Middle: Confusing Android Static Analyzers
Every Breath You Don't Take: Deepfake Speech Detection Using Breath
Lessons Learned: Analysis of PUF-based Authentication Protocols for IoT
Enhancing Electric Vehicle Security and Privacy through Decentralized Identity Management
Editorial on the Special Issue on Election Security
Vulvet : Vetting of Vulnerabilities in Android Apps to Thwart Exploitation
A Perfect Storm: Social Media News, Psychological Biases, and AI
Detection of Anomalous Behavior of Smartphone Devices using Changepoint Analysis and Machine Learning Techniques
Mitigating Data-only Attacks by Protecting Memory-resident Sensitive Data
Fake News Early Detection: A Theory-driven Model
The Hidden Threat: Analysis of Linux Rootkit Techniques and Limitations of Current Detection Tools
Security Analysis of Zigbee Protocol Implementation via Device-agnostic Fuzzing
Inroduction on Recent Trends and Perspectives in Fake News Research
Introduction to the Special Issue on the Lifecycle of IoT (In)security
Detecting Hard-Coded Credentials in Software Repositories via LLMs
AMiner: A Modular Log Data Analysis Pipeline for Anomaly-based Intrusion Detection
Simulating Organizational Data from Redacted Input for Inference Enterprise Modeling
Data Synthesis Is Going Mobile - On Community-Driven Dataset Generation for Android Devices
Special Issue on Actionable Information for Digital Threat Discovery Using Contextualized Data or Multi Sensor Data Fusion
Increasing Street Credibility: Cartography-Aware Forensic Analysis of GNSS Trace Validity
Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors Using Machine Learning
Securing Applications against Side-channel Attacks through Resource Access Veto
Social Media Authentication and Combating Deepfakes Using Semi-Fragile Invisible Image Watermarking
Fit for Forensics: Taxonomy and Common Model for Forensic Analysis of Fitness Trackers
Treadmill Assisted Gait Spoofing (TAGS): An Emerging Threat to Wearable Sensor-based Gait Authentication
Looking Beyond the Horizon: Thoughts on Proactive Detection of Threats
Human Factors in AI-Driven Cybersecurity: Cognitive Biases and Trust Issues
A Framework for Enhancing Social Media Misinformation Detection with Topical-Tactics
More Style, Less Work: Card-style Data Decrease Risk-limiting Audit Sample Sizes
SAIBERSOC: A Methodology and Tool for Experimenting with Security Operation Centers
Introduction to the IMF 2023 Special Issue
Gotta Catch 'em All: A Multistage Framework for Honeypot Fingerprinting
Applied Machine Learning for Information Security
InvesTEE: A TEE-supported Framework for Lawful Remote Forensic Investigations
On NVD Users' Attitudes, Experiences, Hopes, and Hurdles
A Functional Classification of Forensic Access to Storage and its Legal Implications
The Sorry State of TLS Security in Enterprise Interception Appliances
Counter Measures to Combat Money Laundering in the New Digital Age
A Transdisciplinary Approach to Cybersecurity: A Framework for Encouraging Transdisciplinary Thinking
Investigating Threats Posed by SMS Origin Spoofing to IoT Devices
Machine Learning Framework to Analyze IoT Malware Using ELF and Opcode Features
Mapping the Interdisciplinary Research on Non-consensual Pornography: Technical and Quantitative Perspectives
Are We Skillful or Just Lucky? Interpreting the Possible Histories of Vulnerability Disclosures
ALERT: Active Learning and Explainable AI for Robust Threat Detection in Telegram
Stealthy Attacks against Robotic Vehicles Protected by Control-based Intrusion Detection Techniques
Personality Types and Ransomware Victimisation
Does Cyber Insurance Promote Cyber Security Best Practice? An Analysis Based on Insurance Application Forms
Locally and Structurally Private Graph Neural Networks
Leveraging LLMs for Memory Forensics: A Comparative Analysis of Malware Detection
Threats to Online Advertising and Countermeasures: A Technical Survey
Using a Stack to Find an AI Needle: Topic Modeling for Cyber Threat Intelligence
Fake News Sharing: An Investigation of Threat and Coping Cues in the Context of the Zika Virus
A Formal Treatment of Expressiveness and Relevance of Digital Evidence
A Chosen Random Value Attack on WPA3 SAE Authentication Protocol
ExSol : Collaboratively Assessing Cybersecurity Risks for Protecting Energy Delivery Systems
Faulty Point Unit: ABI Poisoning Attacks on Trusted Execution Environments
Introduction to the ACSAC'19 Special Issue - Vol. 2
LAVA: Log Authentication and Verification Algorithm
Randomized Moving Target Approach for MAC-Layer Spoofing Detection and Prevention in IoT Systems
Certifichain: Secure QR Codes for Blockchain-Verified Digital Credentials
A Novel Vulnerability Exploit Prediction System Using the Relational Vulnerability-Vendor Network
From Embodied Abuse to Mass Disruption : Generative, Inter-Reality Threats in Social, Mixed-Reality Platforms
Directional Laplacian Centrality for Cyber Situational Awareness
Malware Triage for Early Identification of Advanced Persistent Threat Activities
Gaps and Opportunities in Situational Awareness for Cybersecurity
Fine-Tuning Large Language Models for Digital Forensics: Case Study and General Recommendations
Keeping Up with the Emotets: Tracking a Multi-infrastructure Botnet
Toward Improving the Security of IoT and CPS Devices: An AI Approach
Informing Cyber Threat Intelligence through Dark Web Situational Awareness: The AZSecure Hacker Assets Portal
Automatic Reverse Engineering of Script Engine Binaries for Building Script API Tracers
An Analysis of Adversary-Centric Security Testing within Information and Operational Technology Environments
Data for Digital Forensics: Why a Discussion on "How Realistic is Synthetic Data" is Dispensable
Introduction to the Special Issue on Security and Privacy for COVID-19