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Izenov, Yesdaulet, author.
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Reducing Labeling Complexity in Streaming Data Mining / Izenov, Yesdaulet, author.
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Alsuwaiket, Mohammed, author.
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Measuring academic performance of students in higher education using data mining techniques /
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Xue, Yaqi, author.
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Testing the Differential Efficacy of Data Mining Techniques to Predicting Student Outcomes in
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Ahmadzadeh, Ebad, author.
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Data Mining Algorithms for Decision Support Based on User Activities / Ahmadzadeh, Ebad, author.
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Ellis, Kailey, author.
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Data Mining: Gathering Data From a Pediatric Occupational Therapy Practice / Ellis, Kailey, author.
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Restuhadi, Fajar, author.
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Yeast Transcriptome Data Mining: Application of Cluster Analysis for Studying Gene Expression Data /
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Capuzzi, Stephen Joseph, author.
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Predictive Cheminformatics Analysis of Diverse Chemogenomics Data Sources: Applications to Drug
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Whitley, Lewis Adam, author.
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Educational Data Mining and its Uses to Predict the Most Prosperous Learning Environment / Whitley
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Patchala, Jagadeesh, author.
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Data Mining Algorithms for Discovering Patterns in Text Collections / Patchala, Jagadeesh, author.
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Fu, Kai, author.
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Mining and Integrating Epigenomics Big Data to Discover Novel Mechanisms of Gene Regulation / Fu
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Villalon, Rachelle B., author.
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Data Mining, Inference, and Predictive Analytics for the Built Environment with Images, Text, and
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Gudenas, Brian L., author.
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Genomic Data Mining for Functional Annotation of Human Long Noncoding RNAs / Gudenas, Brian L
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Wilcox, Bruce A., author.
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A Time Series Data Mining and Unobserved Component Modeling Approach to Credit Risk Correlation
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Chen, Jonathan Jun Feng, author.
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Data Mining/Machine Learning Techniques for Drug Discovery: Computational and Experimental Pipeline
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Hu, Fei, author. (orcid)0000-0001-5231-2303
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Studies - Case Studies with Urban Heat Island and Tourist Movement Pattern Mining / Hu, Fei, author
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Yin, Tianzhixi, author.
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Data Mining Application to Power Grid PMU Data / Yin, Tianzhixi, author.
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Alqahtani, Saad, author.
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Molecular Determinants for Binding of the FDA-Approved Drugs in Proteins -- A Data Mining and
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Chen, Quanquan, author.
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identified by data mining in multiple open databases and confirmed by field observation in selected areas
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Amoutzias, Grigoris, author.
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transcription factors in humans. The integration of genomic, phylogenetic and protein-protein interaction data
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Shi, Ningxin, author.
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the Third International Knowledge Discovery and Data Mining Tools Competition dataset (KDD 1999). The
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Jayaprakasan, Parvathy, author.
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from these data mining techniques can be used to develop intervention programs to help students succeed
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Thombare, Shalaka, author.
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published the data obtained as a result of the data mining project performed to create the evaluation corpus
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El Radie, Eihab Salah, author. (orcid)0000-0002-1473-5070
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-seq expression networks and synthetic data demonstrate the effectiveness of the proposed algorithms. Moreover
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Wu, Tao, author.
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, numerical optimizations and data mining tasks. The key assumption of a first-order Markov chain is
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Goparaju, Aditya Praneeth, author. (orcid)0000-0002-4827-775X
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throughput techniques. Due to the large amount of data involved, researchers have turned to data mining
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Song, Xuebo, author.
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Millions of text data are penetrating into our daily life. These unstructured text data serve as a
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Franklin, Bryan M., author.
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As the amount of information available for data mining grows larger, the amount of time needed to
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Cleary, Alan Michael, author.
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variety of analyses that mining synteny blocks from pan-genomic data enables, including meaningful
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Alwoimi, Bader M., author.
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WEKA software is used to increase the accuracy of the data mining procedure. The final model consists
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Stanley, Natalie, author.
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Networks have become a common data mining tool to encode relational definitions between a set of
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Chatterjee, Arijit, author.
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We are going through a phase of data evolution where a major portion of the data from our daily
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Muallem, Asmah, author.
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generated incomparably. Recently, more advanced data stream mining (DSM) machine learning approaches have
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Mabika, Bernard, author.
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operations worldwide. The purpose of this multiple case study was to explore successful strategies mining and
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Pandit, Bigyan, author.
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-time information and apply data mining techniques to extract the common behavior patterns. These common behavior
by
Pham, Minh H., author.
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efficient method to inspect post-marketing drug safety is to use data mining algorithms on electronic health
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Micheletti, Kristine, author. (orcid)0000-0003-1623-7750
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expansion into new areas. These expansions can come with actions, like logging, mining, and agriculture that
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Muniraju, Archana, author.
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, historical records, etc. has led to an increasing demand for an efficient method for data mining and analysis
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Buaba, Judith, author.
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activities mainly constitute the implementation stage of the mine design. Mining to achieve design has proven
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Gadikor, Joel Edem Kwaku, author.
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fragmentation distribution from blasting in the mining industry. This research evaluates the performance of the
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Connolly, Logan, author.
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research conducted to date for the project, includes analysis of the research data, additional conclusions
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Cheng, Shenghui, author.
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to understand the intricate relations among the data. The data types not only consist of static data
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Wineland, Sean Michael, author.
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conventional detection methods. Integrating eDNA data within a SODM framework allowed me to accurately and
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Nokhiz, Pegah, author.
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baseline approach that only uses conventional text mining features such as tf-idf features, Part of Speech
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Doyle, Patrick C., author.
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the 2017-2018 football season, using data scraping and mining methods using the open
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Chen, Chi, author.
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open new possibilities for catalysts design. Based on molecular dynamics simulations, we develop a data-mining
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Piliouras, Dimitrios, author.
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bridgingpre-clinical data with patient data, as well as effective literature-mining, in order to es
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Amand, Joseph St., author.
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Many important machine learning and data mining algorithms rely on a measure to provide a notion of
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McBride, Zach M., author.
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resolving power allowed us to predict protein complex composition. By creating a reproducible data mining
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Zhao, Yiqing, author. (orcid)0000-0003-2874-8136
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Conclusion The data resources and the data mining and visualization tools will promote an
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Meng, Chuishi, author. (orcid)0000-0002-1995-5291
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power of the crowd sensed data, we perform knowledge mining in urban computing applications by fusing
by
Wang, Zhenbin, author.
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chemistries with data-driven structure prediction and high-throughput screening. This approach was
by
Karch, Kelly R., author.
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-resolution instruments are capable of this analysis with data dependent acquisition (DDA) and data independent
by
Chen, Yan, author.
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sharing and mining large-scale personal data can help improve the functionality of these services, it
by
Hertel, Kelly, author.
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monitored, not only to comply with state and federal regulations, but also to optimize the mining operations
by
Russell, Elizabeth Anne, author.
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rock mass features in underground mining. The issue of capturing geological and structural data in
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Li, Yuan, author.
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-based similarity. While some of the existing approaches work well for short time series data, they typically fail
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Khairunnesa, Samantha Syeda, author.
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precondition mining approach include a technique to analyze the data and control flow in the program leading to
by
Upadhyaya, Ganesha, author. (orcid)0000-0003-0764-2578
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numerous applications e.g. in defect prediction, specification inference, etc, the demand for mining and
by
Schulze, Christoph, author. (orcid)0000-0001-9300-5641
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specifications in the form of system invariants from automatically generated test data using data-mining
by
Contreras-Nieto, Cristian, author.
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maintenance. This dissertation used NBI databases as the main data source and utilized data mining techniques
by
Tan, Ben, author.
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attained much popularity in data mining and machine learning, as well as many other areas. A major
by
Wu, Rongxin, author.
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the buggy functions via statically analyzing and mining from crash stacks. Then, to locate the crash
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Kasuvajjala, Deepthi, author.
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Community Detection is a trivial task in Network Analysis and Data Mining. A widely accepted
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Hitomi, Nozomi, author. (orcid)0000-0001-8568-1690
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This thesis also develops an MOEA that can extract new knowledge by applying a data mining
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Mashhadi, Ardeshir Raihanian, author.
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effectiveness of different designs and pricing policies on the improvement of product recovery. Finally, data
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Isaza, Yueng Santiago De La Hoz, author.
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fall. Sensor data are usually processed using computer vision, data mining, and machine learning
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Obeng-Baah, Joseph, author.
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mining company in the conflict. Using a mix of qualitative data including, primarily in-depth one
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Hong, Zihan, author.
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local data may be available, (3) proposing data-mining algorithms for the vehicle trajectory data to
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Rigsby, John Thomas, III, author. (orcid)0000-0001-5393-5270
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text data mining, several fields of study are dedicated to solving aspects of this problem. Some of
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