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 …”
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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 …”
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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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Decentralised Data Quality Control in Ground Truth Production for Autonomic Decisions von Gkikopoulos, Panagiotis, Schiavoni, Valerio, Spillner, Josef

“… To avoid bias propagation and hence reduce wrong decisions in increasingly autonomous systems due to poor observation data quality, multiple independent observers can exchange their findings …”
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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 …”
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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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Determining k-most demanding products with maximum expected number of total customers von Chen-Yi Lin, Jia-Ling Koh, Chen, A. L. P.

“… We show the problem is NP-hard when the number of attributes for a product is 3 or more. One greedy algorithm is proposed to find approximate solution for the problem …”
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Efficient and Scalable Algorithms for Inferring Likely Invariants in Distributed Systems von Guofei Jiang, Haifeng Chen, Yoshihira, K.

“… However, it is hard to correlate such monitoring data effectively across distributed systems and along observation time for system management …”
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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 reference system …”
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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 …”
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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 their structure …”
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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, clustering, classification, correlation computation, and decision tree construction …”
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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 …”
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Encoding Semantic Awareness in Resource-Constrained Devices von Preuveneers, D., Berbers, Y.

“… ' discovery of the knowledge and resources they need. Ambient intelligence aims to enable smart interaction beyond the Internet by embedding intelligence into our environment to unobtrusively support users' daily activities …”
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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 heterogeneous context …”
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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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Knowledge‐based planning algorithm for lung SBRT with robust Bayesian stochastic frontier analysis and missing data management von Kroshko, Angelika, Morin, Olivier, Archambault, Louis

“… A novel missing data management is applied in order to handle missing organs‐at‐risk and work with a complete dataset …”
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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.

“… The analysis is often incomplete and, therefore, prone to revealing faulty conclusions and not uncovering useful tuning knowledge …”
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A Multi-Criteria Optimisation Algorithm for the Evaluation of Scientific Activity von Hapka, Aneta Olga, Wojszczyk, Rafał, Królikowski, Tomasz

“… The presented solution is based on a modified knapsack algorithm, the novelty of the approach relies on extended data sorting …”
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Monte Carlo Data Envelopment Analysis with Genetic Algorithm for Knowledge Management performance measurement von Kuah, Chuen Tse, Wong, Kuan Yew, Wong, Wai Peng

“… ► A Monte Carlo Data Envelopment Analysis model is proposed to measure the stochastic performance of Knowledge Management …”
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