Suchergebnisse - "Algorithms for data and knowledge management"

Bayesian Nonparametric Models for Multiway Data Analysis von Xu, Zenglin, Yan, Feng, Qi, Yuan

“… Tensor decomposition is a powerful computational tool for multiway data analysis. Many popular tensor decomposition approaches-such as the Tucker decomposition …”
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SpatialSSJP: QoS-Aware Adaptive Approximate Stream-Static Spatial Join Processor von Jawarneh, Isam Mashhour Al, Bellavista, Paolo, Corradi, Antonio, Foschini, Luca, Montanari, Rebecca

“… The widespread adoption of Internet of Things (IoT) motivated the emergence of mixed workloads in smart cities, where fast arriving geo-referenced big data …”
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Interpretation of Structural Preservation in Low-Dimensional Embeddings von Ghosh, Aindrila, Nashaat, Mona, Miller, James, Quader, Shaikh

“… Despite being commonly used in big-data analytics; the outcome of dimensionality reduction remains a black-box to most of its users. Understanding the quality …”
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Decentralised Data Quality Control in Ground Truth Production for Autonomic Decisions von Gkikopoulos, Panagiotis, Schiavoni, Valerio, Spillner, Josef

“… Autonomic decision-making based on rules and metrics is inevitably on the rise in distributed software systems. Often, the metrics are acquired from system …”
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VA-Store: A Virtual Approximate Store Approach to Supporting Repetitive Big Data in Genome Sequence Analyses von Liu, Xianying, Zhu, Qiang, Pramanik, Sakti, Brown, C. Titus, Qian, Gang

“… In recent years, we have witnessed an increasing demand to process big data in numerous applications. It is observed that there often exist substantial amounts …”
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Determining k-most demanding products with maximum expected number of total customers von Chen-Yi Lin, Jia-Ling Koh, Chen, A. L. P.

“… In this paper, a problem of production plans, named k-most demanding products (k-MDP) discovering, is formulated. Given a set of customers demanding a certain …”
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Efficient Duplication Free and Minimal Keyword Search in Graphs von Kargar, Mehdi, Aijun An, Xiaohui Yu

“… Keyword search over a graph searches for a subgraph that contains a set of query keywords. A problem with most existing keyword search methods is that they may …”
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FLOTT-A Fast, Low Memory T-TransformAlgorithm for Measuring String Complexity von Rebenich, Niko, Speidel, Ulrich, Neville, Stephen W., Gulliver, T. Aaron

“… This paper presents flott, a fast, low memory T-transform algorithm which can be used to compute the string complexity measure T-complexity. The algorithm uses …”
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Robust Module-Based Data Management von Goasdoue, Francois, Rousset, M-C

“… The current trend for building an ontology-based data management system (DMS) is to capitalize on efforts made to design a preexisting well-established DMS (a …”
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Efficient and Scalable Algorithms for Inferring Likely Invariants in Distributed Systems von Guofei Jiang, Haifeng Chen, Yoshihira, K.

“… Distributed systems generate a large amount of monitoring data such as log files to track their operational status. However, it is hard to correlate such …”
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KungFQ: A Simple and Powerful Approach to Compress fastq Files von Grassi, E., Gregorio, F. D., Molineris, I.

“… Nowadays storing data derived from deep sequencing experiments has become pivotal and standard compression algorithms do not exploit in a satisfying manner …”
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Encoding Semantic Awareness in Resource-Constrained Devices von Preuveneers, D., Berbers, Y.

“… With the semantic Web relying on ontologies to establish online machine- interpretable information, the Internet is growing into a semantically aware computing …”
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Biasing second-order random walk sampling for heterogeneous graph embedding von Soto-Gomez, Mauricio, Cano, Carlos, Reese, Justin, Robinson, Peter N., Valentini, Giorgio, Casiraghi, Elena

“… We present heterogeneous-node2vec, a novel method that leverages the well-known node2vec algorithm to enable the generation of random-walk samples in a …”
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Unsupervised feature construction for improving data representation and semantics von Rizoiu, Marian-Andrei, Velcin, Julien, Lallich, Stéphane

“… Attribute-based format is the main data representation format used by machine learning algorithms. When the attributes do not properly describe the initial …”
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Distributed Identification of Top-l Inner Product Elements and its Application in a Peer-to-Peer Network von Das, K., Bhaduri, K., Kun Liu, Kargupta, H.

“… The inner product measures how closely two feature vectors are related. It is an important primitive for many popular data mining tasks, for example, …”
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A Lagrangian Approach for Multiple Personalized Campaigns von Yong-Hyuk Kim, Yoon, Y., Byung-Ro Moon

“… The multicampaign assignment problem is a campaign model to overcome the multiple-recommendation problem that occurs when conducting several personalized …”
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ADMiRe: an algebraic data mining approach to system performance analysis von Jiang, N., Villafane, R., Hua, K.A., Sawant, A., Prabhakara, A.

“… Performance analysis of computing systems is an increasingly difficult task due to growing system complexity. Traditional tools rely on ad hoc procedures. With …”
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