Physical Sciences and Mathematics Commons^™

Set Operators, Xiaojin Ye

Dissertations, Theses, and Capstone Projects

My research is centered on set operators. These are universally applicable regardless of the internal structure (numeric or non-numeric) of each individual observed datum. In our research, we have developed the theory of set operators to fill holes and gaps in observed data and eliminate paper shred garbage, thereby changing the observed symbolic data set into one whose pattern is closer to the pattern in the underlying population from which the observed data set was sampled with perturbations.

We describe different set operators including increasing operators, decreasing operators, ex- pansive operators, contractive operators, union preserving operators, intersection preserving op- erators, …

Role Of Influence In Complex Networks, Nur Dean

Dissertations, Theses, and Capstone Projects

Game theory is a wide ranging research area; that has attracted researchers from various fields. Scientists have been using game theory to understand the evolution of cooperation in complex networks. However, there is limited research that considers the structure and connectivity patterns in networks, which create heterogeneity among nodes. For example, due to the complex ways most networks are formed, it is common to have some highly “social” nodes, while others are highly isolated. This heterogeneity is measured through metrics referred to as “centrality” of nodes. Thus, the more “social” nodes tend to also have higher centrality.

In this thesis, …

An Empirical Study Of Refactorings And Technical Debt In Machine Learning Systems, Yiming Tang, Raffi T. Khatchadourian, Mehdi Bagherzadeh, Rhia Singh, Ajani Stewart, Anita Raja

Publications and Research

Machine Learning (ML), including Deep Learning (DL), systems, i.e., those with ML capabilities, are pervasive in today's data-driven society. Such systems are complex; they are comprised of ML models and many subsystems that support learning processes. As with other complex systems, ML systems are prone to classic technical debt issues, especially when such systems are long-lived, but they also exhibit debt specific to these systems. Unfortunately, there is a gap of knowledge in how ML systems actually evolve and are maintained. In this paper, we fill this gap by studying refactorings, i.e., source-to-source semantics-preserving program transformations, performed in real-world, open-source …

Snow-Albedo Feedback In Northern Alaska: How Vegetation Influences Snowmelt, Lucas C. Reckhaus

Theses and Dissertations

This paper investigates how the snow-albedo feedback mechanism of the arctic is changing in response to rising climate temperatures. Specifically, the interplay of vegetation and snowmelt, and how these two variables can be correlated. This has the potential to refine climate modelling of the spring transition season. Research was conducted at the ecoregion scale in northern Alaska from 2000 to 2020. Each ecoregion is defined by distinct topographic and ecological conditions, allowing for meaningful contrast between the patterns of spring albedo transition across surface conditions and vegetation types. The five most northerly ecoregions of Alaska are chosen as they encompass …

Qwasi: The Quantum Walk Simulator, Warren V. Wilson

Theses and Dissertations

As quantum computing continues to evolve, the ability to design and analyze novel quantum algorithms becomes a necessary focus for research. In many instances, the virtues of quantum algorithms only become evident when compared to their classical counterparts, so a study of the former often begins with a consideration of the latter. This is very much the case with quantum walk algorithms, as the success of random walks and their many, varied applications have inspired much interest in quantum correlates. Unfortunately, finding purely algebraic solutions for quantum walks is an elusive endeavor. At best, and when solvable, they require simple …

New Approaches To Frequent And Incremental Frequent Pattern Mining, Mehmet Bicer

Dissertations, Theses, and Capstone Projects

Data Mining (DM) is a process for extracting interesting patterns from large volumes of data. It is one of the crucial steps in Knowledge Discovery in Databases (KDD). It involves various data mining methods that mainly fall into predictive and descriptive models. Descriptive models look for patterns, rules, relationships and associations within data. One of the descriptive methods is association rule analysis, which represents co-occurrence of items or events. Association rules are commonly used in market basket analysis. An association rule is in the form of X → Y and it shows that X and Y co-occur with a given …

Novel Fast Algorithms For Low Rank Matrix Approximation, John T. Svadlenka

Dissertations, Theses, and Capstone Projects

Recent advances in matrix approximation have seen an emphasis on randomization techniques in which the goal was to create a sketch of an input matrix. This sketch, a random submatrix of an input matrix, having much fewer rows or columns, still preserves its relevant features. In one of such techniques random projections approximate the range of an input matrix. Dimension reduction transforms are obtained by means of multiplication of an input matrix by one or more matrices which can be orthogonal, random, and allowing fast multiplication by a vector. The Subsampled Randomized Hadamard Transform (SRHT) is the most popular among …

Emerging Technologies In Healthcare: Analysis Of Unos Data Through Machine Learning, Reyhan Merekar

Student Theses and Dissertations

The healthcare industry is primed for a massive transformation in the coming decades due to emerging technologies such as Artificial Intelligence (AI) and Machine Learning. With a practical application to the UNOS (United Network of Organ Sharing) database, this Thesis seeks to investigate how Machine Learning and analytic methods may be used to predict one-year heart transplantation outcomes. This study also sought to improve on predictive performances from prior studies by analyzing both Donor and Recipient data. Models built with algorithms such as Stacking and Tree Boosting gave the highest performance, with AUC’s of 0.6810 and 0.6804, respectively. In this …

Decision Tree For Predicting The Party Of Legislators, Afsana Mimi

Publications and Research

The motivation of the project is to identify the legislators who voted frequently against their party in terms of their roll call votes using Office of Clerk U.S. House of Representatives Data Sets collected in 2018 and 2019. We construct a model to predict the parties of legislators based on their votes. The method we used is Decision Tree from Data Mining. Python was used to collect raw data from internet, SAS was used to clean data, and all other calculations and graphical presentations are performed using the R software.

An Empirical Study On The Use And Misuse Of Java 8 Streams, Raffi T. Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, Baishakhi Ray

Publications and Research

Streaming APIs allow for big data processing of native data structures by providing MapReduce-like operations over these structures. However, unlike traditional big data systems, these data structures typically reside in shared memory accessed by multiple cores. Although popular, this emerging hybrid paradigm opens the door to possibly detrimental behavior, such as thread contention and bugs related to non-execution and non-determinism. This study explores the use and misuse of a popular streaming API, namely, Java 8 Streams. The focus is on how developers decide whether or not to run these operations sequentially or in parallel and bugs both specific and tangential …

An Empirical Study On The Use And Misuse Of Java 8 Streams, Raffi T. Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, Baishakhi Ray

Publications and Research

Streaming APIs allow for big data processing of native data structures by providing MapReduce-like operations over these structures. However, unlike traditional big data systems, these data structures typically reside in shared memory accessed by multiple cores. Although popular, this emerging hybrid paradigm opens the door to possibly detrimental behavior, such as thread contention and bugs related to non-execution and non-determinism. This study explores the use and misuse of a popular streaming API, namely, Java 8 Streams. The focus is on how developers decide whether or not to run these operations sequentially or in parallel and bugs both specific and tangential …

Philosophical Perspectives, Jochen Albrecht

Publications and Research

This entry follows in the footsteps of Anselin’s famous 1989 NCGIA working paper entitled “What is special about spatial?” (a report that is very timely again in an age when non-spatial data scientists are ignorant of the special characteristics of spatial data), where he outlines three unrelated but fundamental characteristics of spatial data. In a similar vein, I am going to discuss some philosophical perspectives that are internally unrelated to each other and could warrant individual entries in this Body of Knowledge. The first one is the notions of space and time and how they have evolved in …

Csci 49378: Lecture 1: Overview, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Overview" (Week One) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Csci 49378: Introduction To Distributed System And Cloudcomputing: Syllabus, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Syllabus: for CSCI 49378: Introduction to Distributed Systems and Cloud Computing (Spring 2020)

Csci 49378: Lecture 3: Synchronization, Consistency And Replication, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Synchronization, Consistency and Replication" (Week Three) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Csci 49378: Final Project Assignment: Distributed Systems And Cloud Computing, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Final Project Assignment for the course: "CSCI 49378: Intro to Distributed Systems and Cloud Computing" delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Csci 49378: Lecture 10: Cloud Storage And Databases Ii, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Storage and Databases II" (Week Ten) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Csci 49378: Lecture 7: Cloud Systems And Infrastructures I, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures I" (Week Seven) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Csci 49378: Lecture 11: Logging, Monitoring, And Advanced Topics, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Logging, Monitoring, and Advanced Topics" (Week Eleven) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Csci 49378: Lecture 8: Cloud Systems And Infrastructures Ii, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures II" (Week Eight) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Csci 49378: Lecture 2: Distributed Systems - Key Concepts & Techniques, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Distributed Systems - Key Concepts & Techniques" (Week Two) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Csci 49378: Lecture 5: Distributed Web-Based Applications, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Distributed Web-based Applications" (Week five) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Csci 49378: Lecture 4: Distributed File Systems, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Distributed File Systems" (Week Four) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Csci 49378: Lecture 6: Cloud Computing Concepts, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Computing Concepts" (Week Six) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Csci 49378: Lecture 9: Cloud Storage And Databases I, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Storage and Databases I" (Week Nine) delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Csci 380 - Digital Operations And Cybersecurity Management (Syllabus), Eric Spector, Nyc Tech-In-Residence Corps

Open Educational Resources

Syllabus for the course "CSCI 380 - Digital Operations and Cybersecurity Management" delivered at the John Jay COllege in Spring 2020 by Eric Spector as part of the Tech-in-Residence Corps program.

Cs 485 Computer Architecture, Danyang Zhang

Open Educational Resources

This course will present the basic concepts and technologies in computer organization and architecture. For example, logical devices and digital circuits, data representation, register transfer, central processor organization, microprogram control and organization, parallel computing. Although there could be multiple perspectives in studying computer architecture, our focus would be to better understand computer organization in order to design more efficient and reliable application software. The OER (Open Educational Resources) session of this course will have no textbook required (ZTC: Zero Textbook Cost), conduct lectures based on online resources and other open educational resources, and have students involved in active learning including …

Cybersecurity (Cs 3550): Lecture 1: Introduction & State Of Cybersecurity, Michael Whiteman, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CIS 3550: Cybersecurity - "1: Introduction & State of Cybersecurity" delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.

Cybersecurity (Cs 3550): Lecture 2: Cybersecurity Fundamentals, Michael Whiteman, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CIS 3550: Cybersecurity - "2: Cybersecurity Fundamentals" delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.

Cybersecurity (Cs 3550): Lecture 7-8: Risk Management, Michael Whiteman, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course: CIS 3550: Cybersecurity - "7-8: Risk Management" delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.