La Consolacion College Manila

Companies receive millions of tickets from their clients. Unfortunately, manual ticket routing takes time and relies heavily on human resources. To help automate the ticket routing, text classification can assist as it is the process of categorizing a document into a predetermined class based on its content. One algorithm is the K-Nearest Neighbors (KNN) which is a popular supervised technique but ranks average to lowest compared to other classification models. An improved KNN algorithm utilized clustering and improved the accuracy of the classifier. This paper proposed a further enhancement of this algorithm by adding preprocessing techniques, changing the distance formula, and computing for the k-value rather than choosing one. Two datasets of IT support tickets were used to train and test the algorithms. Results showed that this further enhanced algorithm significantly performed better than the initial algorithm with the highest accuracy score of 97.83% in one dataset while the initial algorithm performed best with an accuracy score of 86.34% using a k-value of 4 in another dataset.

Hashing is a procedure that can be used for a program to gain access to data quickly. It is very popular in many IT areas such as route lookup, cryptography development, and string data indexing for fast searching among others. Open Addressing and Separate Chaining are the generally two known collision resolutions if a hash function fails to plot a unique index. Engaging any collision resolution will result in multiple key comparisons and memory accesses causing time to increase linearly thus the lookup latency becomes indeterminate, posing an unpredictable outcome to some time-critical systems. Although the collision problem is inevitable, the proposed hashing algorithm using 2D vector and hash functions on its collision resolution can achieve lookup time at one or two memory accesses while resolving the collision.

Text Mining is widely used in many areas transforming unstructured text data from all sources such as patients' record, social media network, insurance data, and news, among others into an invaluable source of information. The Bag Of Words (BoW) representation is a means of extracting features from text data for use in modeling. In text classification, a word in a document is assigned a weight according to its frequency and frequency between different documents; therefore, words together with their weights form the BoW. One way to solve the issue of voluminous data is to use the feature hashing method or hashing trick. However, collision is inevitable and might change the result of the whole process of feature generation and selection. Using the vector data structure, the lookup performance is improved while resolving collision and the memory usage is also efficient.

AbstractThis study is part of a bigger study supporting the Philippine Government’s Medium-Term Plan to institute major reforms in its educational system. The main research question of this study is how can Philippine Higher Education Institutions (HEIs) shift towards an Outcomes-Based Education (OBE) approach and typology-based Quality Assurance (QA) System that would meet international standards? Specifically, the study aimed to: 1) craft a Ten-year transition strategy (AY 2012-2022) for Philippine HEIs to become compliant to international accords 2) design a framework for an Outcomes-based Education (OBE) approach and typology-based Quality Assurance (QA) system for HEIs; and 3) on the bases of the results, design a Model academic Course Syllabus in the field of business, particularly the BS Accountancy Program that applies OBE approach and typology-based QA using an actual case of an existing HEI- La Consolacion College Manila (LCCM), Philippines. The researchers’ main motivation in undertaking this study was the specific significant contribution to LCCM-a 100-year old HEI that is in need of a transition strategy during Academic Year 2012-2022 and the benefits to national interest. The Philippines has consistently lagged behind in the World Economic Forum (WEF) Global Competitiveness Index, placing 65th worldwide and 3rd least competitive among its Southeast Asian neighbours. The conceptual framework primarily used three of the world’s most popular quality management system models – Deming’s PDCA Cycle used in ISO 9001:2008 QMS, Baldrige Framework –Education Criteria for Performance Excellence (MBNQA,2010) and Kaplan’s Balanced Scorecard (BSC) Methodology (Kaplan and Norton,2000).The methodology used was a descriptive- case analysis research design primarily using secondary data analysis technique to analyse existing publications, memorandum orders, and studies from government and private agencies. Primary data was sourced from internal records of LCCM--the sample case study. The study showed that Outcomes-based framework presupposes quality and goals anchored on the Vision-Mission-Goals and Objectives (VMGO) of HEIs. Thus, HEIs define their VMGO in response to local contexts and their assessment of institutional strengths and weaknesses, the quality goals and outcomes of HEIs necessarily differ. It can be concluded that Philippine HEIs are not differentiated along the mission and functions vis-à-vis the national goals, with specific focus (target clientele, resource requirement and competencies of graduates). Typology-based QA for HEI must therefore be classified into three types: a) Professional Institutes b) Colleges and c) Universities. The study recommends immediate implementation of the 12-year Basic education (K-12) to comply with international accords (Washington and Bologna) in view of the economic impact of the gap during the transition phase. Strategies were crafted and designed for LCCM which may be applicable to HEIs in the Philippines during the 10-year transition stage (AY2012-2022). It is recommended that HEIs should adopt OBE approach and typology-based QA to produce world class graduates with competencies in accord with international standards. Private accrediting and certifying agencies must subsequently revise criteria to conform to these new methodology and typology, and to suit to the needs of HEIs aligned with the national goals and cascaded down to its VMGO. A Proposed BS Accountancy (BSA) Course Syllabus was developed in this study that may serve as a Model for all HEIs. It is further recommended that government regulatory units such as CHED and PRC, local accrediting agencies such as PAAASCU/PACU-COA, and international certifying agencies such as SGS for ISO and MBNQA for Baldrige, must use standards on the basis of this new typology. Finally, the study recommends an 8-step Action Plan for HEIs, starting with the K-12 implementation in Basic Education to cascading the HEI’s VMGOs into Program Course objectives following the OBE approach and revised HEI typology.