The flow shop scheduling problems are experiencing a huge eminence in this modern era of industrialization. In the present scenario we find almost every industry to be focusing prominently on the scheduling of the machines working in them, as it is a significant factor in deciding the net productivity. Nowadays almost each and every manufacturing system is involved in following a preplanned schedule of machine operation considering the demand criterion put forth. Flexible manufacturing system...

Topics: Flexible Manufacturing System, Scheduling, Heuristics, Palmer Heuristics, CDS Heuristics, NEH...

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Meditation on homelessness and basic human needs, and an ask to build a chart of elemental stupidities and fallacies.

Topics: politics, heuristics, homeless, housing

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Nov 26, 2018
11/18

by
Â© Impact Journals

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This paper analyses the application of theory on heuristics. When you make judgments and decisions about the market, you like to think that you are objective, logical, and capable of taking in and evaluating all the information that is available to you. Unfortunately, the biases sometimes trip us up, leading to poor decisions and bad judgments. This paper tries to give a theoretical base for taking decision-based on available data which is may be misleading and biased.

Topics: Heuristics, Biased, Amazon, Retail Marketing

Statistical disclosure control (SDC) methods reconcile the need to release information to researchers with the need to protect privacy of individual records. Microaggregation is a SDC method that protects data subjects by guarantying k-anonymity: Records are partitioned into groups of size at least k and actual data values are replaced by the group means so that each record in the group is indistinguishable from at least k-1 other records. The goal is to create groups of similar records such...

Topics: Disclosure Control, Microaggregation, Privacy protection, Tour construction heuristics, Tour...

With the assignment of the last available blocks of public IPv4 addresses from Internet Assigned Numbers Authority, there is continued pressure for widespread IPv6 adoption. Because the IPv6 address space is orders of magnitude larger than the IPv4 address space, researchers need new methods and techniques to accurately measure and characterize growth in IPv6. This thesis focuses on IPv6 router infrastructure and examines the possibility of using heuristic methods in order to discover IPv6...

Topics: IPv6, Discover of Router Infrastructure, Heuristics

Outliers are frequently found in data sets and can cause problems for researchers if not addressed. Failure to identify and deal with outliers in an appropriate manner may lead researchers to report erroneous results. Using a multiple regression context, this paper examines some of the reasons for the presence of outliers and simple methods for identifying them. Heuristic data sets and scatterplots provide illustrations of the concepts discussed.(Contains 2 figures, 2 tables, and 11...

Topics: ERIC Archive, Heuristics, Regression (Statistics), Vannoy, Martha

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In this book the author proves the connection between Sumerian, Egyptian, Coptic, Olmec, Mayan languages. For the first time the Olmec inscription is deciphered and the method is presented which was used is presented by the Professor.

Topics: Sumerian, Egyptian, Coptic, Olmec, Mayan, heuristics, cryptology

Reverse engineering is the problem-solving activity that ensues when one takes a human-made system, whole or in part, and attemptsâ€”through systematic analysis of its physical characteristics and other available evidenceâ€”to answer one or more of the following questions: What is this for? What does it do? How does it do it? What is inside it? How was it made? A model developed from a synthesis of the technical literature is used to infer modes of failure in the process of reverse engineering...

Topics: systems engineering, reverse engineering, heuristics, process modeling

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In this book the author Professor SzaÅ‚ek examines the connection between Egyptian, Sumerian, Dravidian and Elamites languages. His theory is backed by lots of examples appearing in all these languages.

Topics: Egyptian, Sumerian, Dravidian, Elamite languages, heuristics, Cryptology

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Jan 21, 2019
01/19

by
Shivani Sharma

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Privacy Preservation of Sensitive Itemsets Using Parallelized Heuristics Based Approach based on MapReduce Parallel Programming Framework

Topics: Data Privacy Preservation, Big Data, MapReduce, Heuristics Based Approach

The information matrix for the parameters in a latent-variable model is bounded from above by the information that would obtain if the values of the latent variables could also be observed. The difference is the "missing information." This paper discusses the structure of the information matrix, and characterizes the degree to which missing information can be recovered by exploiting collateral variables for respondents. The results are illustrated with data from the Armed Services...

Topics: ERIC Archive, Heuristics, Item Response Theory, Matrices, Military Personnel, Models

Many univariate statistical methods assume that dependent variable data have a univariate distribution. Some statistical methods assume that the error scores are normally distributed. It is clear that the concept of data normality is an important one in statistics. This paper explains that, notwithstanding common misconceptions to the contrary, there are infinitely many normal distributions, each differing in appearance. The classic bell-shaped curve only depicts one single case of the...

Topics: ERIC Archive, Heuristics, Scores, Statistical Distributions, Rollins, Dahl A.

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Feb 7, 2016
02/16

by
Kenneth Udut

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#Fruit #fractions. Idk how I got here - I was looking up #heuristics - #problemsolving-MvEV5nUrZia.mp4 Fruit fractions Idk how I got here I was looking up heuristics problemsolving MvEV5nUrZia mp4 Fruit fractions heuristics problemsolving

Topics: consequence, bear, aftermath, Fruit, fractions, heuristics, problemsolving, Vine, KennethUdut

This paper explores the role of media, particularly, the quality of media content, in the formation of social prejudice against a group. Firstly, we try to explain the reasons behind social discrimination usually conducted by haves against marginalized groups have nots of the society using the theories from behavioral economics. Secondly, we come up with a simple probability model to frame the negative impact of linguistic exclusion by media discriminatory media content on corporate hiring...

Topics: Market Economy, heuristics, linguistic exclusion, social categorisation, stereotype threat

In General Linear Model (GLM) analyses, it is important to interpret structure coefficients, along with standardized weights, when evaluating variable contribution to observed effects. Although often used in canonical correlation analysis, structure coefficients are less frequently used in multiple regression and several other multivariate analyses. This paper discusses and demonstrates the role of structure coefficients in multivariate analyses by: (1) illustrating structure coefficients in...

Topics: ERIC Archive, Heuristics, Multivariate Analysis, Henson, Robin K.

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In this book Professor SzaÅ‚ek presents similarities and differences between Basque, Tamil, Japanes, Mayan.

Topics: Basque, Georgian, Mayan, Japanese, Tamil, Georgian, heuristics, cryptology

Commonality analysis is a method of decomposing the R squared in a multiple regression analysis into the proportion of explained variance of the dependent variable associated with each independent variable uniquely and the proportion of explained variance associated with the common effects of one or more independent variables in various combinations. Unlike other variance partitioning methods (e.g., stepwise regression) that distort the results, commonality analysis considers all possible...

Topics: ERIC Archive, Heuristics, Prediction, Regression (Statistics), Amado, Alfred J.

All parametric methods are special cases of canonical correlation analysis and can, in fact, be performed using the canonical correlation procedures found in commonly available computer statistics packages such as the Statistical Analysis System (SAS) software. It is suggested that canonical analysis has advantages of versatility since it can accommodate various levels of scale and does not require that variance be discarded or that variable relationships be distorted. In addition, it has...

Topics: ERIC Archive, Computer Software, Educational Research, Heuristics, Multivariate Analysis

This brief paper argues that structural analysis--an extended form of cognitive task analysis--demonstrates that both domain dependent and domain independent knowledge can be derived from specific content domains. It is noted that the major difference between the two is that lower order rules (specific knowledge) are derived directly from specific domains, and represented as lower order rules, while higher order rules (general cognitive knowledge) are derived indirectly via structural analysis...

Topics: ERIC Archive, Cognitive Structures, Cultural Influences, Epistemology, Heuristics, Piagetian Theory

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Professor SzaÅ‚ek examines the connections betweenÂ Eteocretan, Linear A, Etruscan, Lemnian, Carian, Eteocypriot.

Topics: Eteocretan, Linear A, Etruscan, Lemnian, Carian, Eteocypriot, heuristics, cryptology

This paper suggests that multivariate analysis techniques are very important in educational research, and that one multivariate technique--canonical correlation analysis--may be particularly useful. The logic of canonical analysis is explained. It is suggested that a backward variable elimination strategy can make the method even more powerful, by yielding more parsimonious results and greater power against Type II error. Backward variable elimination canonical correlation analysis uses...

Topics: ERIC Archive, Educational Research, Heuristics, Multivariate Analysis, Research Methodology

From the bitsavers.org collection, a scanned-in computer-related document. mit :: ai :: aim :: AIM-176

Topics: heuristic, figure, probability, shaded, program, heuristics, atomic, characters, character, branch,...

From the bitsavers.org collection, a scanned-in computer-related document. mit :: ai :: aim :: AIM-192

Topics: vertex, eraser, vertices, heuristics, figure, regions, shadow, shadows, xcor, segment, vertex...

Part and partial correlation coefficients are used to measure the strength of a relationship between a dependent variable and an independent variable while controlling for one or more other variables. The present paper discusses the uses and limitations of partial correlations and presents a small heuristic data set to illustrate the discussion. The correlation of interest was between the number of churches and the number of murders in 15 cities of various populations. The Statistical Package...

Topics: ERIC Archive, Correlation, Crime, Demography, Heuristics, Predictor Variables, Research...

Despite the fact that the culture seems to prize a "good listener," which is a compliment used in everything from a grade school report card to a description of an ideal marriage partner, listening actually is a less privileged interpretive trope than speaking, writing, or seeing. This paper, citing essays by Krista Ratcliffe and Nikki Giovanni, demonstrates that listening is also informed by ethnicity and that a cultural bias against listening exists at the level of race and class....

Topics: ERIC Archive, Deafness, Diversity (Student), Heuristics, Higher Education, Listening Comprehension,...

Software project development has been plagued with an infamous reputation for cost overruns, late deliveries, poor reliability and users' dissatisfaction. Much of this blame has been placed on the managerial side of software development. The Systems Dynamic Model of Software Project Management is a quantitative model of software project dynamics that is attempting to gain some valuable insight into the managerial side of developing software systems. The objective of this thesis is to use the...

Topics: Computer programming, Software, Software engineering, Heuristics, biases, software project...

Using a hypothetical data set of 24 cases concerning opinions on contemporary issues on which Democrats and Republicans might disagree, concrete examples are provided to illustrate that canonical correlation analysis is the most general linear model, subsuming other parametric procedures as special cases. Specific statistical techniques included in the analysis are "t"-tests, Pearson correlation, multiple regression, analysis of variance, multiple analysis of variance, and...

Topics: ERIC Archive, Analysis of Variance, Correlation, Discriminant Analysis, Heuristics, Multivariate...

The effects of attitudes on social memory have not been determined. Some studies have shown attitudes to serve as a heuristic for estimating an answer about past behavior. When an attitude heuristic is applied to recall of an event, "memory" will appear to be "superior," to the extent that the subject's inferences and constructions coincide with what actually happened. This study examined whether attitudes can lead to a selective identification of the facts of ambiguous,...

Topics: ERIC Archive, Attitudes, College Students, Heuristics, Higher Education, Knowledge Level, Memory,...

A cautionary tale has become something of a cottage industry in the past decade. To be sure, there has been plenty of material for these publications: Bhopal, Chernobyl, "Exxon Valdez," Three Mile Island, and "Challenger" have entered the lexicon as virtual synonyms for "disaster." Cautionary tale scenarios involve a different kind of causality. In analyzing technology-related disasters after the fact, one may find himself/herself examining causal sequences that...

Topics: ERIC Archive, Technology, Failure, Risk, Influences, Accidents, Tales, Heuristics, Epistemology,...

Dealing with missing data is frequently necessary in social sciences research. There are many statistical methods for dealing with missing data. This paper focuses on four of the more basic methods: (1) listwise deletion; (2) pairwise deletion; (3) total mean substitution; and (4) variable mean substitution. Each of the methods is discussed, and the discussion includes instruction on how to perform the technique using the Statistical Package for the Social Sciences (SPSS). Information is also...

Topics: ERIC Archive, Computer Software, Heuristics, Social Science Research, Statistical Analysis,...

When the term "problem" is defined as a task requiring analysis and reasoning toward a goal, it is seen that the performance of the problem solver is narrowly delimited by the domain, form, and complexity of the problem and the characteristics of the solver. Tenets of a unified theory of problem solving are discussed, concerning what the solver brings to the problem-solving experience, what the solver does in order to solve the problem, and the problem itself. This theory is...

Topics: ERIC Archive, Biological Sciences, Cognitive Ability, Evaluative Thinking, Heuristics, Logical...

Data reduction techniques seek to combine variables that account for patterns of variation in observed dependent variables in such a way that a simpler model is available for analysis. Factor analysis is a data reduction technique that attempts to model or explain a set of variables in terms of their associations. To understand why this technique yields an accurate analysis, an examination of the mathematical models underlying the procedure is necessary. Execution of factor analysis by the...

Topics: ERIC Archive, Factor Analysis, Factor Structure, Heuristics, Mathematical Models, Matrices,...

A general linear model (GLM) framework is used to suggest that structure coefficients ought to be interpreted in structural equation modeling confirmatory factor analysis (CFA) studies in which factors are correlated. The computation of structure coefficients in explanatory factor analysis and CFA is explained. Two heuristic data sets are used to make the discussion concrete, illustrating the calculation of pattern and structure coefficients in LISREL CFA studies investigating scores on ability...

Topics: ERIC Archive, Ability, Correlation, Heuristics, Mathematical Models, Scores, Self Concept,...

The computer user has played an active part in uncovering changes brought on with microcomputer technology. Electronic mail (or "E-mail"), which enables users to send and receive messages through bulletin board services ("BBSs"), is often considered one innovation of the computer revolution. A BBS provides opportunities for both "live," real-time exchanges with the BBS host or a fellow user and "asynchronous" message exchanges. BBS telecommunication...

Topics: ERIC Archive, Communication (Thought Transfer), Electronic Mail, Heuristics, Information...

Commonality analysis is a procedure for decomposing the coefficient of determination (R superscript 2) in multiple regression analyses into the percent of variance in the dependent variable associated with each independent variable uniquely, and the proportion of explained variance associated with the common effects of predictors in various combinations. Commonality analysis is an attempt to understand the relative predictive power of regressor variables, both individually and in combination....

Topics: ERIC Archive, Correlation, Heuristics, Higher Education, Prediction, Predictor Variables,...

This paper presents heuristic explanations of factor scores, structure coefficients, and communality coefficients. Common misconceptions regarding these topics are clarified. In addition, (a) the regression (b) Bartlett, (c) Anderson-Rubin, and (d) Thompson methods for calculating factor scores are reviewed. Syntax necessary to execute all four methods are provided. Appended are: (1) SPSS Syntax for Regression, Bartlett, Anderson-Rubin, and Thompson Methods; and (2) SPSS Syntax for Multiple R...

Topics: ERIC Archive, Factor Structure, Misconceptions, Heuristics, Regression (Statistics), Factor...

The use of repeated measures research designs is explored. Repeated measures designs are often advantageous and can be implemented in a variety of research settings. One of the main advantages in repeated measures designs is the control of subject variability. Other advantages are the reduction of error variance and economy in subject recruitment. A disadvantage is the carry-over practice, effect of the repetition. A heuristic example is presented to illustrate the different statistical and...

Topics: ERIC Archive, Heuristics, Multivariate Analysis, Regression (Statistics), Research Design, Tables...

Following a brief discussion of the lack of definition and cohesion in the social studies and the curriculum, the paper argues that the reflective inquiry rationale has had the most significant influence of all the alternative rationales for the field and its curriculum. The paper presents its case in four basic sections. The first section, "Historical Development of the Reflective Inquiry Model," traces the development and refinement of reflective inquiry from the concepts of John...

Topics: ERIC Archive, Critical Thinking, Discovery Learning, Heuristics, Inquiry, Learning Processes,...

Most researchers using factor analysis extract factors from a matrix of Pearson product-moment correlation coefficients. A method is presented for extracting factors in a non-parametric way, by extracting factors from a matrix of Spearman rho (rank correlation) coefficients. It is possible to factor analyze a matrix of association such that neither means, variances, nor monotonicity of distances between ordered pairs of scores will affect the results, by factor analyzing a matrix of Spearman's...

Topics: ERIC Archive, Correlation, Factor Analysis, Heuristics, Mathematical Models, Matrices,...

The concept of the general linear model (GLM) is illustrated and how canonical correlation analysis is the GLM is explained, using a heuristic data set to demonstrate how canonical correlation analysis subsumes various multivariate and univariate methods. The paper shows how each of these analyses produces a synthetic variable, like the Yhat variable in regression. Ultimately these synthetic variables are actually analyzed in all statistics, a fact that is important to researchers who want to...

Topics: ERIC Archive, Correlation, Heuristics, Multivariate Analysis, Regression (Statistics),...

This paper illustrates how canonical correlation analysis can be employed to implement all the parametric tests that canonical methods subsume as special cases. The point is heuristic: all analyses are correlational, all apply weights to measured variables to create synthetic variables, and all yield effect sizes analogous to "r" squared. An appendix contains the Statistical Package for the Social Sciences command syntax for the analyses. (Contains 12 tables and 25 references.)...

Topics: ERIC Archive, Correlation, Effect Size, Heuristics, Multivariate Analysis, Tables (Data), Henson,...

In this paper the binomial index of model fit is applied to four path-analytic or structural-equation models to demonstrate how this goodness-of-fit measure can be used and interpreted. In addition, the conclusions derived from the results of the binomial index of goodness of fit were compared to the statements presented by the authors of the reviewed articles regarding the goodness of fit of the models, which were based on traditional goodness-of-fit indexes. The goodness-of-fit statements...

Topics: ERIC Archive, Goodness of Fit, Heuristics, Path Analysis, Research Methodology, Statistical...

Analysis of variance (ANOVA) was invented in the 1920s to partition variance of a single dependent variable into uncorrelated parts. Having uncorrelated parts makes the computations involved in ANOVA incredibly easier. This was important before computers were invented, when calculations were all done by hand, and also were done repeatedly to check for calculation errors. This paper demonstrates that ANOVA effects in a balanced design are perfectly uncorrelated. A mathematical proof that the...

Topics: ERIC Archive, Analysis of Variance, Computation, Correlation, Heuristics, Research Design, Hester,...

This paper explains in user-friendly terms why multivariate statistics are so important in educational research. The basic logic of canonical correlation analysis is presented as a simple or bivariate Pearson "r" procedure. It is noted that all statistical tests implicitly involve the calculation of least squares weights, and that all parametric tests can be conducted using canonical analysis, since canonical analysis subsumes parametric methods as special cases. Canonical analysis is...

Topics: ERIC Archive, Educational Research, Heuristics, Least Squares Statistics, Multiple Regression...

This paper presents the methodology for performing and interpreting second-order factor analysis. Procedures for extracting and rotating solutions are presented. Critical issues of interpretation, such as interpreting second-order factors are discussed. Two methods for accomplishing this are explained, including multiplying the first- and second-order factor pattern matrices and the Schmid-Leiman (1957) orthogonalized solution. Methods and interpretation are discussed for both exploratory and...

Topics: ERIC Archive, Correlation, Factor Analysis, Heuristics, Research Methodology, Arnau, Randolph C.

In an attempt to specify in some canonical terms what many heuristic programs known as "expert systems" do, an analysis was made of ten rule-based systems. It was found that these programs proceed through easily identifiable phases of data abstraction, heuristic mapping onto a hierarchy of pre-enumerated solutions, and refinement within this hierarchy: that is, they do classification. Focusing on content rather than representational technology, this paper proposes a set of terms and...

Topics: ERIC Archive, Classification, Computer Science, Computer Software, Heuristics, Higher Education,...

This paper suggests that the current confusion regarding character formation is related to a postmodern dilemma about the nature of the individual child. By looking at John Dewey's concept of "potentials," and by applying this concept to his ideas about the self and experience, this paper develops a naturalistic version of the idea of "unique potential" (a "higher self") as a model to support a program in moral or character education. This model must provide the...

Topics: ERIC Archive, Educational Philosophy, Elementary Secondary Education, Epistemology, Ethical...

From the bitsavers.org collection, a scanned-in computer-related document. mit :: ai :: aim :: AIM-285

Topics: lines, program, vertex, vertices, intensity, image, polyhedra, heuristics, edges, imaging, imaging...

Suppressor effects are considered one of the most elusive dynamics in the interpretation of statistical data. A suppressor variable has been defined as a predictor that has a zero correlation with the dependent variable while still, paradoxically, contributing to the predictive validity of the test battery (P. Horst, 1941). This paper explores the three definitions of regression suppressor variables by reviewing existing literature about suppressor effects and provides a heuristic example that...

Topics: ERIC Archive, Correlation, Definitions, Heuristics, Identification, Predictor Variables,...

The ACO heuristics is a distributed and cooperative search method that imitates the behavior of real ants in its the search for food. The Capacitated Vehicle Routing Problem CVRP is a well known combinatorial optimization problem, which is concerned with the distribution of goods between the depot and customers. This paper will apply the Ant Colony System ACS with Savings heuristic algorithm to solve Capacitated Vehicle Routing Problem. This problem will be solve to determine an optimal...

Topics: Artificial Intelligence, Ant Colony System, Vehicle Routing, Heuristics, Capacitated Vehicle...