Výsledky vyhledávání - "Information systems Information systems applications Data mining Clustering"

SLACC: Simion-based Language Agnostic Code Clones Autor Mathew, George, Parnin, Chris, Stolee, Kathryn T

“…Successful cross-language clone detection could enable researchers and developers to create robust language migration tools, facilitate learning additional…”
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QAGView: Interactively Summarizing High-Valued Aggregate Query Answers Autor Wen, Yuhao, Zhu, Xiaodan, Roy, Sudeepa, Yang, Jun

“…Methods for summarizing and diversifying query results have drawn significant attention recently, because they help present query results with lots of tuples…”
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ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression Autor Liu, Guangda, Li, Chengwei, Zhao, Jieru, Zhang, Chenqi, Guo, Minyi

“…Large Language Models (LLMs) have been widely deployed in a variety of applications, and the context length is rapidly increasing to handle tasks such as…”
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TAXI: Traveling Salesman Problem Accelerator with X-bar-based Ising Macros Powered by SOT-MRAMs and Hierarchical Clustering Autor Yoo, Sangmin, Holla, Amod, Sanyal, Sourav, Kim, Dong Eun, Iacopi, Francesca, Biswas, Dwaipayan, Myers, James, Roy, Kaushik

“…Ising solvers with hierarchical clustering have shown promise for large-scale Traveling Salesman Problems (TSPs), in terms of latency and energy. However, most…”
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Tiver: Identifying Adaptive Versions of C/C++ Third-Party Open-Source Components Using a Code Clustering Technique Autor Choi, Youngjae, Woo, Seunghoon

“…Reusing open-source software (OSS) provides significant benefits but also poses risks from propagated vulnerabilities. While tracking OSS component versions…”
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AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization Autor Shar, Lwin Khin, Goknil, Arda, Husom, Erik Johannes, Sen, Sagar, Tun, Yan Naing, Kim, Kisub

“…Unsupervised learning systems using clustering have gained significant attention for numerous applications due to their unique ability to discover patterns and…”
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Sidekick: Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation Autor Lee, Sanghoon, Park, Jongho, Ha, Minho, Koh, Byung Il, Park, Kyoung, Kim, Yeseong

“…Near Data Processing (NDP) is a promising solution for data mining/analysis techniques, which extract useful information from big data. In this paper, we…”
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On-demand feature recommendations derived from mining public product descriptions Autor Dumitru, Horatiu, Gibiec, Marek, Hariri, Negar, Cleland-Huang, Jane, Mobasher, Bamshad, Castro-Herrera, Carlos, Mirakhorli, Mehdi

“…We present a recommender system that models and recommends product features for a given domain. Our approach mines product descriptions from publicly available…”
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Quantum Spectral Clustering of Mixed Graphs Autor Volya, Daniel, Mishra, Prabhat

“…Spectral graph partitioning is a well known technique to estimate clusters in undirected graphs. Recent approaches explored efficient spectral algorithms for…”
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Codecatch: extracting source code snippets from online sources Autor Diamantopoulos, Themistoklis, Karagiannopoulos, Georgios, Symeonidis, Andreas L.

“…Nowadays, developers rely on online sources to find example snippets that address the programming problems they are trying to solve. However, contemporary API…”
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Sosed: a tool for finding similar software projects Autor Bogomolov, Egor, Golubev, Yaroslav, Lobanov, Artyom, Kovalenko, Vladimir, Bryksin, Timofey

“…In this paper, we present Sosed, a tool for discovering similar software projects. We use fastText to compute the embeddings of subto-kens into a dense space…”
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Using data mining and recommender systems to scale up the requirements process Autor Cleland-Huang, Jane, Mobasher, Bamshad

“…Ultra-Large-Scale (ULS) software projects are anticipated to be highly complex and to involve thousands, or even hundreds of thousands of stakeholders…”
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Federated Node Classification over Graphs with Latent Link-type Heterogeneity Autor Xie, Han, Xiong, Li, Yang, Carl

“…Federated learning (FL) aims to train powerful and generalized global models without putting distributed data together, which has been shown effective in…”
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Word Embedding based Clustering to Detect Topics in Social Media Autor Comito, Carmela, Forestiero, Agostino, Pizzuti, Clara

“…Social media are playing an increasingly important role in reporting major events happening in the world. However, detecting events and topics of interest from…”
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BD-CATS: big data clustering at trillion particle scale Autor Patwary, Md. Mostofa Ali, Byna, Suren, Satish, Nadathur Rajagopalan, Sundaram, Narayanan, Lukić, Zarija, Roytershteyn, Vadim, Anderson, Michael J., Yao, Yushu, Prabhat, Dubey, Pradeep

“…Modern cosmology and plasma physics codes are now capable of simulating trillions of particles on petascale systems. Each timestep output from such simulations…”
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UDAVA: An Unsupervised Learning Pipeline for Sensor Data Validation in Manufacturing Autor Husom, Erik Johannes, Tverdal, Simeon, Goknil, Arda, Sen, Sagar

“…Manufacturing has enabled the mechanized mass production of the same (or similar) products by replacing craftsmen with assembly lines of machines. The quality…”
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Analyzing HPC Utilization with PIKA and Vampir Autor Williams, William R., Knespel, Maximilian, Winkler, Frank, Wesarg, Bert

“…We present a set of tools to support analysis of the utilization of high performance computing (HPC) resources by extending PIKA, a site-level monitoring tool,…”
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CANARI: A Monitoring Framework for Cluster Analysis and Node Assessment for Resource Integrity Autor DeRue, Ryan T, Verburgt, Jacob

“…In providing High Performance Computing (HPC) systems to research faculty at universities, research computing facilitators must often strike a balance between…”
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A clustering-based scheme for concurrent trace in debugging NoC-based multicore systems Autor Gao, Jianliang, Wang, Jianxin, Han, Yinhe, Zhang, Lei, Li, Xiaowei

“…Concurrent trace is an emerging challenge when debugging multicore systems. In concurrent trace, trace buffer becomes a bottleneck since all trace sources try…”
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Attributed Graph Clustering: an Attribute-aware Graph Embedding Approach Autor Akbas, Esra, Zhao, Peixiang

“…Graph clustering is a fundamental problem in social network analysis, the goal of which is to group vertices of a graph into a series of densely knitted…”
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