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by
Han, Jiawei.
ScienceDirect http://www.sciencedirect.com/science/book/9780123814791
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Data Mining Concepts and Techniques. Han, Jiawei.
by
Han, Jiawei.
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Data mining concepts and techniques / Han, Jiawei.
by
Izenov, Yesdaulet, author.
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Reducing Labeling Complexity in Streaming Data Mining / Izenov, Yesdaulet, author.
by
Cerquitelli, Tania. editor.
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Transparent Data Mining for Big and Small Data Cerquitelli, Tania. editor.
by
Chen, Hsinchun.
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Dark Web Exploring and Data Mining the Dark Side of the Web / Chen, Hsinchun.
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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
by
Patchala, Jagadeesh, author.
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Data Mining Algorithms for Discovering Patterns in Text Collections / Patchala, Jagadeesh, author.
by
Villalon, Rachelle B., author.
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Data Mining, Inference, and Predictive Analytics for the Built Environment with Images, Text, and
by
Chen, Jonathan Jun Feng, author.
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Data Mining/Machine Learning Techniques for Drug Discovery: Computational and Experimental Pipeline
by
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
by
Ó Conchúir, Deasún.
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Data Mining and Knowledge Discovery.
by
Guillet, Fabrice. editor.
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Data Mining and Knowledge Discovery.
by
Shi, Ningxin, author.
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the Third International Knowledge Discovery and Data Mining Tools Competition dataset (KDD 1999). The
by
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
by
Zelkowitz, Marvin V., 1945-
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Selection and Ranking in the WebSemantics Architecture Using Quality of Data Metadata1; Chapter 4. Mining
by
Wu, Tao, author.
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, numerical optimizations and data mining tasks. The key assumption of a first-order Markov chain is
by
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
by
Song, Xuebo, author.
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Millions of text data are penetrating into our daily life. These unstructured text data serve as a
by
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
by
Cleary, Alan Michael, author.
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variety of analyses that mining synteny blocks from pan-genomic data enables, including meaningful
by
Stanley, Natalie, author.
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Networks have become a common data mining tool to encode relational definitions between a set of
by
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
by
Pandit, Bigyan, author.
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-time information and apply data mining techniques to extract the common behavior patterns. These common behavior
by
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
by
Cheng, Shenghui, author.
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to understand the intricate relations among the data. The data types not only consist of static data
by
Nokhiz, Pegah, author.
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baseline approach that only uses conventional text mining features such as tf-idf features, Part of Speech
by
Piliouras, Dimitrios, author.
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bridgingpre-clinical data with patient data, as well as effective literature-mining, in order to es
by
Zelkowitz, Marvin V., 1945-
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Data Mining to Discover the Preferences of Computer Criminals As the longest-running continuous serial
by
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
by
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
Chen, Yan, author.
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sharing and mining large-scale personal data can help improve the functionality of these services, it
by
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
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
by
Kasuvajjala, Deepthi, author.
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Community Detection is a trivial task in Network Analysis and Data Mining. A widely accepted
by
Qi, Ershi. editor.
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Steelmaking and Continuous Casting Production -- 9.Application of RCA to the Data Analysis in Medication
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