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The article focuses on the influence of the Freudian psychoanalytic theories and the in the riveting writings of William Somerset Maugham. This article has narrowed down its focus on the only one enthralling short story by Maugham, namely ''The Kite''. Somerset Maugham and Sigmund Freud's lives intersected in the early years of the twenty-first century. They were both fascinated by human relationships and the building blocks of human bonds. This study was qualitative descriptive. The theory adopted for analyzing the selected text was the Freud approach to the issue as a psychoanalyst and clinician. Simultaneously, Maugham delved deep into the psyche and behavior of human beings he met, watched, and interacted with. This article aims to critically evaluate the compelling themes and motives of Maugham's short stories and to establish the ascendancy of the theories of psychoanalysis as propounded by Freud in them.

The article focuses on the influence of the Freudian psychoanalytic theories and the in the riveting writings of William Somerset Maugham. This article has narrowed down its focus on the only one enthralling short story by Maugham, namely ''The Kite''. Somerset Maugham and Sigmund Freud's lives intersected in the early years of the twenty-first century. They were both fascinated by human relationships and the building blocks of human bonds. This study was qualitative descriptive. The theory adopted for analyzing the selected text was the Freud approach to the issue as a psychoanalyst and clinician. Simultaneously, Maugham delved deep into the psyche and behavior of human beings he met, watched, and interacted with. This article aims to critically evaluate the compelling themes and motives of Maugham's short stories and to establish the ascendancy of the theories of psychoanalysis as propounded by Freud in them.

Although we have seen a proliferation of algorithms for recommending visualizations, these algorithms are rarely compared with one another, making it difficult to ascertain which algorithm is best for a given visual analysis scenario. Though several formal frameworks have been proposed in response, we believe this issue persists because visualization recommendation algorithms are inadequately specified from an evaluation perspective. In this paper, we propose an evaluation-focused framework to contextualize and compare a broad range of visualization recommendation algorithms. We present the structure of our framework, where algorithms are specified using three components: (1) a graph representing the full space of possible visualization designs, (2) the method used to traverse the graph for potential candidates for recommendation, and (3) an oracle used to rank candidate designs. To demonstrate how our framework guides the formal comparison of algorithmic performance, we not only theoretically compare five existing representative recommendation algorithms, but also empirically compare four new algorithms generated based on our findings from the theoretical comparison. Our results show that these algorithms behave similarly in terms of user performance, highlighting the need for more rigorous formal comparisons of recommendation algorithms to further clarify their benefits in various analysis scenarios.

Visualization recommendation systems simplify exploratory data analysis (EDA) and make understanding data more accessible to users of all skill levels by automatically generating visualizations for users to explore. However, most existing visualization recommendation systems focus on ranking all visualizations into a single list or set of groups based on particular attributes or encodings. This global ranking makes it difficult and time-consuming for users to find the most interesting or relevant insights. To address these limitations, we introduce a novel class of visualization recommendation systems that automatically rank and recommend both groups of related insights as well as the most important insights within each group. Our proposed approach combines results from many different learning-based methods to discover insights automatically. A key advantage is that this approach generalizes to a wide variety of attribute types such as categorical, numerical, and temporal, as well as complex non-trivial combinations of these different attribute types. To evaluate the effectiveness of our approach, we implemented a new insight-centric visualization recommendation system, SpotLight, which generates and ranks annotated visualizations to explain each insight. We conducted a user study with 12 participants and two datasets which showed that users are able to quickly understand and find relevant insights in unfamiliar data.

Visualization recommendation work has focused solely on scoring visualizations based on the underlying dataset and not the actual user and their past visualization feedback. These systems recommend the same visualizations for every user, despite that the underlying user interests, intent, and visualization preferences are likely to be fundamentally different, yet vitally important. In this work, we formally introduce the problem of personalized visualization recommendation and present a generic learning framework for solving it. In particular, we focus on recommending visualizations personalized for each individual user based on their past visualization interactions (e.g., viewed, clicked, manually created) along with the data from those visualizations. More importantly, the framework can learn from visualizations relevant to other users, even if the visualizations are generated from completely different datasets. Experiments demonstrate the effectiveness of the approach as it leads to higher quality visualization recommendations tailored to the specific user intent and preferences. To support research on this new problem, we release our user-centric visualization corpus consisting of 17.4k users exploring 94k datasets with 2.3 million attributes and 32k user-generated visualizations., Comment: 37 pages, 6 figures

While decision makers have begun to employ machine learning, machine learning models may make predictions that bias against certain demographic groups. Semi-automated bias detection tools often present reports of automatically-detected biases using a recommendation list or visual cues. However, there is a lack of guidance concerning which presentation style to use in what scenarios. We conducted a small lab study with 16 participants to investigate how presentation style might affect user behaviors in reviewing bias reports. Participants used both a prototype with a recommendation list and a prototype with visual cues for bias detection. We found that participants often wanted to investigate the performance measures that were not automatically detected as biases. Yet, when using the prototype with a recommendation list, they tended to give less consideration to such measures. Grounded in the findings, we propose information load and comprehensiveness as two axes for characterizing bias detection tasks and illustrate how the two axes could be adopted to reason about when to use a recommendation list or visual cues., Comment: Published at Graphics Interface 2020 (GI 2020)

Machine learning models often make predictions that bias against certain subgroups of input data. When undetected, machine learning biases can constitute significant financial and ethical implications. Semi-automated tools that involve humans in the loop could facilitate bias detection. Yet, little is known about the considerations involved in their design. In this paper, we report on an interview study with 11 machine learning practitioners for investigating the needs surrounding semi-automated bias detection tools. Based on the findings, we highlight four considerations in designing to guide system designers who aim to create future tools for bias detection., Comment: Proceedings of the CHI 2020 Workshop on Detection and Design for Cognitive Biases in People and Computing Systems

Visualization recommendation seeks to generate, score, and recommend to users useful visualizations automatically, and are fundamentally important for exploring and gaining insights into a new or existing dataset quickly. In this work, we propose the first end-to-end ML-based visualization recommendation system that takes as input a large corpus of datasets and visualizations, learns a model based on this data. Then, given a new unseen dataset from an arbitrary user, the model automatically generates visualizations for that new dataset, derive scores for the visualizations, and output a list of recommended visualizations to the user ordered by effectiveness. We also describe an evaluation framework to quantitatively evaluate visualization recommendation models learned from a large corpus of visualizations and datasets. Through quantitative experiments, a user study, and qualitative analysis, we show that our end-to-end ML-based system recommends more effective and useful visualizations compared to existing state-of-the-art rule-based systems. Finally, we observed a strong preference by the human experts in our user study towards the visualizations recommended by our ML-based system as opposed to the rule-based system (5.92 from a 7-point Likert scale compared to only 3.45)., Comment: 17 pages, 7 figures

Squatters have now become integral part of urban centers in most developing countries like Pakistan, with Lahore experiencing growth of such informal settlements at its peak. A myriad of issues and challenges associated with economic, social, spatial, environmental and political contexts within squatters has become a great hindrance towards home improvement and better life style. Tenure security brings a sense of homeownership to socioeconomically disadvantaged households. Recently, promotion of increased security of tenure of all whether living in formal or informal settlements has been affirmed by New Urban Agenda of Habitat III. Therefore, it is need of the time to look into present tenure types of squatters being offered by the city to solve problem of housing backlog and to provide promote inclusivity ensuring healthy, affordable and sustainable environment for all inhabitants.Proposed argument has got stronger foundation due to comparative analysis of squatter having secured land tenure with squatter of unsecure tenure. In this paper we explore that tenure security is one of the key factors which leads to resident’s stability, through case study approach by investigating two squatters based on their tenure types. The data collected through questionnaire will help us to identify other key factors associated with resident stability in squatters. Study reveals that limited secured tenure options and poor governance in present urban scenario projects as major obstacles in coping with urban sprawl and squatter settlements. Findings help us to understand the phenomena of inter-connection of land tenure security and residential stability of squatters in Lahore, suffering from housing shortage and informal settlements.

Squatters have now become integral part of urban centers in most developing countries like Pakistan, with Lahore experiencing growth of such informal settlements at its peak. A myriad of issues and challenges associated with economic, social, spatial, environmental and political contexts within squatters has become a great hindrance towards home improvement and better life style. Tenure security brings a sense of homeownership to socioeconomically disadvantaged households. Recently, promotion of increased security of tenure of all whether living in formal or informal settlements has been affirmed by New Urban Agenda of Habitat III. Therefore, it is need of the time to look into present tenure types of squatters being offered by the city to solve problem of housing backlog and to provide promote inclusivity ensuring healthy, affordable and sustainable environment for all inhabitants.Proposed argument has got stronger foundation due to comparative analysis of squatter having secured land tenure with squatter of unsecure tenure. In this paper we explore that tenure security is one of the key factors which leads to resident’s stability, through case study approach by investigating two squatters based on their tenure types. The data collected through questionnaire will help us to identify other key factors associated with resident stability in squatters. Study reveals that limited secured tenure options and poor governance in present urban scenario projects as major obstacles in coping with urban sprawl and squatter settlements. Findings help us to understand the phenomena of inter-connection of land tenure security and residential stability of squatters in Lahore, suffering from housing shortage and informal settlements.

Squatters have now become integral part of urban centers in most developing countries like Pakistan, with Lahore experiencing growth of such informal settlements at its peak. A myriad of issues and challenges associated with economic, social, spatial, environmental and political contexts within squatters has become a great hindrance towards home improvement and better life style. Tenure security brings a sense of homeownership to socioeconomically disadvantaged households. Recently, promotion of increased security of tenure of all whether living in formal or informal settlements has been affirmed by New Urban Agenda of Habitat III. Therefore, it is need of the time to look into present tenure types of squatters being offered by the city to solve problem of housing backlog and to provide promote inclusivity ensuring healthy, affordable and sustainable environment for all inhabitants.Proposed argument has got stronger foundation due to comparative analysis of squatter having secured land tenure with squatter of unsecure tenure. In this paper we explore that tenure security is one of the key factors which leads to resident’s stability, through case study approach by investigating two squatters based on their tenure types. The data collected through questionnaire will help us to identify other key factors associated with resident stability in squatters. Study reveals that limited secured tenure options and poor governance in present urban scenario projects as major obstacles in coping with urban sprawl and squatter settlements. Findings help us to understand the phenomena of inter-connection of land tenure security and residential stability of squatters in Lahore, suffering from housing shortage and informal settlements.

Squatters have now become integral part of urban centers in most developing countries like Pakistan, with Lahore experiencing growth of such informal settlements at its peak. A myriad of issues and challenges associated with economic, social, spatial, environmental and political contexts within squatters has become a great hindrance towards home improvement and better life style. Tenure security brings a sense of homeownership to socioeconomically disadvantaged households. Recently, promotion of increased security of tenure of all whether living in formal or informal settlements has been affirmed by New Urban Agenda of Habitat III. Therefore, it is need of the time to look into present tenure types of squatters being offered by the city to solve problem of housing backlog and to provide promote inclusivity ensuring healthy, affordable and sustainable environment for all inhabitants.Proposed argument has got stronger foundation due to comparative analysis of squatter having secured land tenure with squatter of unsecure tenure. In this paper we explore that tenure security is one of the key factors which leads to resident’s stability, through case study approach by investigating two squatters based on their tenure types. The data collected through questionnaire will help us to identify other key factors associated with resident stability in squatters. Study reveals that limited secured tenure options and poor governance in present urban scenario projects as major obstacles in coping with urban sprawl and squatter settlements. Findings help us to understand the phenomena of inter-connection of land tenure security and residential stability of squatters in Lahore, suffering from housing shortage and informal settlements.

Squatters have now become integral part of urban centers in most developing countries like Pakistan, with Lahore experiencing growth of such informal settlements at its peak. A myriad of issues and challenges associated with economic, social, spatial, environmental and political contexts within squatters has become a great hindrance towards home improvement and better life style. Tenure security brings a sense of homeownership to socioeconomically disadvantaged households. Recently, promotion of increased security of tenure of all whether living in formal or informal settlements has been affirmed by New Urban Agenda of Habitat III. Therefore, it is need of the time to look into present tenure types of squatters being offered by the city to solve problem of housing backlog and to provide promote inclusivity ensuring healthy, affordable and sustainable environment for all inhabitants.Proposed argument has got stronger foundation due to comparative analysis of squatter having secured land tenure with squatter of unsecure tenure. In this paper we explore that tenure security is one of the key factors which leads to resident’s stability, through case study approach by investigating two squatters based on their tenure types. The data collected through questionnaire will help us to identify other key factors associated with resident stability in squatters. Study reveals that limited secured tenure options and poor governance in present urban scenario projects as major obstacles in coping with urban sprawl and squatter settlements. Findings help us to understand the phenomena of inter-connection of land tenure security and residential stability of squatters in Lahore, suffering from housing shortage and informal settlements.

Squatters have now become integral part of urban centers in most developing countries like Pakistan, with Lahore experiencing growth of such informal settlements at its peak. A myriad of issues and challenges associated with economic, social, spatial, environmental and political contexts within squatters has become a great hindrance towards home improvement and better life style. Tenure security brings a sense of homeownership to socioeconomically disadvantaged households. Recently, promotion of increased security of tenure of all whether living in formal or informal settlements has been affirmed by New Urban Agenda of Habitat III. Therefore, it is need of the time to look into present tenure types of squatters being offered by the city to solve problem of housing backlog and to provide promote inclusivity ensuring healthy, affordable and sustainable environment for all inhabitants.Proposed argument has got stronger foundation due to comparative analysis of squatter having secured land tenure with squatter of unsecure tenure. In this paper we explore that tenure security is one of the key factors which leads to resident’s stability, through case study approach by investigating two squatters based on their tenure types. The data collected through questionnaire will help us to identify other key factors associated with resident stability in squatters. Study reveals that limited secured tenure options and poor governance in present urban scenario projects as major obstacles in coping with urban sprawl and squatter settlements. Findings help us to understand the phenomena of inter-connection of land tenure security and residential stability of squatters in Lahore, suffering from housing shortage and informal settlements.

Squatters have now become integral part of urban centers in most developing countries like Pakistan, with Lahore experiencing growth of such informal settlements at its peak. A myriad of issues and challenges associated with economic, social, spatial, environmental and political contexts within squatters has become a great hindrance towards home improvement and better life style. Tenure security brings a sense of homeownership to socioeconomically disadvantaged households. Recently, promotion of increased security of tenure of all whether living in formal or informal settlements has been affirmed by New Urban Agenda of Habitat III. Therefore, it is need of the time to look into present tenure types of squatters being offered by the city to solve problem of housing backlog and to provide promote inclusivity ensuring healthy, affordable and sustainable environment for all inhabitants.Proposed argument has got stronger foundation due to comparative analysis of squatter having secured land tenure with squatter of unsecure tenure. In this paper we explore that tenure security is one of the key factors which leads to resident’s stability, through case study approach by investigating two squatters based on their tenure types. The data collected through questionnaire will help us to identify other key factors associated with resident stability in squatters. Study reveals that limited secured tenure options and poor governance in present urban scenario projects as major obstacles in coping with urban sprawl and squatter settlements. Findings help us to understand the phenomena of inter-connection of land tenure security and residential stability of squatters in Lahore, suffering from housing shortage and informal settlements.

Squatters have now become integral part of urban centers in most developing countries like Pakistan, with Lahore experiencing growth of such informal settlements at its peak. A myriad of issues and challenges associated with economic, social, spatial, environmental and political contexts within squatters has become a great hindrance towards home improvement and better life style. Tenure security brings a sense of homeownership to socioeconomically disadvantaged households. Recently, promotion of increased security of tenure of all whether living in formal or informal settlements has been affirmed by New Urban Agenda of Habitat III. Therefore, it is need of the time to look into present tenure types of squatters being offered by the city to solve problem of housing backlog and to provide promote inclusivity ensuring healthy, affordable and sustainable environment for all inhabitants.Proposed argument has got stronger foundation due to comparative analysis of squatter having secured land tenure with squatter of unsecure tenure. In this paper we explore that tenure security is one of the key factors which leads to resident’s stability, through case study approach by investigating two squatters based on their tenure types. The data collected through questionnaire will help us to identify other key factors associated with resident stability in squatters. Study reveals that limited secured tenure options and poor governance in present urban scenario projects as major obstacles in coping with urban sprawl and squatter settlements. Findings help us to understand the phenomena of inter-connection of land tenure security and residential stability of squatters in Lahore, suffering from housing shortage and informal settlements.

Sequences of timestamped events are currently being generated across nearly every domain of data analytics, from e-commerce web logging to electronic health records used by doctors and medical researchers. Every day, this data type is reviewed by humans who apply statistical tests, hoping to learn everything they can about how these processes work, why they break, and how they can be improved upon. To further uncover how these processes work the way they do, researchers often compare two groups, or cohorts, of event sequences to find the differences and similarities between outcomes and processes. With temporal event sequence data, this task is complex because of the variety of ways single events and sequences of events can differ between the two cohorts of records: the structure of the event sequences (e.g., event order, co-occurring events, or frequencies of events), the attributes about the events and records (e.g., gender of a patient), or metrics about the timestamps themselves (e.g., duration of an event). Running statistical tests to cover all these cases and determining which results are significant becomes cumbersome. Current visual analytics tools for comparing groups of event sequences emphasize a purely statistical or purely visual approach for comparison. Visual analytics tools leverage humans' ability to easily see patterns and anomalies that they were not expecting, but is limited by uncertainty in findings. Statistical tools emphasize finding significant differences in the data, but often requires researchers have a concrete question and doesn't facilitate more general exploration of the data. Combining visual analytics tools with statistical methods leverages the benefits of both approaches for quicker and easier insight discovery. Integrating statistics into a visualization tool presents many challenges on the frontend (e.g., displaying the results of many different metrics concisely) and in the backend (e.g., scalability challenges with running va